Updated on 2025/06/13

写真a

 
HIGUCHI Tomoyuki
 
Organization
Faculty of Science and Engineering Professor
Other responsible organization
Data Science for Business Innovation Course of Graduate School of Science and Engineering, Master's Program
Data Science for Business Innovation Course of Graduate School of Science and Engineering, Doctoral Program
Contact information
The inquiry by e-mail is 《here
Profile

Professor, Department of Data Science for Business Innovation, Faculty of Science and Engineering, Chuo University. I specialize the Bayesian modeling, including data assimilation. I am currently focusing my research on the formulation of deep probabilistic computation, which integrates deep learning and state space modeling. In simulation science, deductive (forward type) reasoning is dominating, where complex phenomena can be described and predicted by elaborating elementary processes. I would like to change the simulation science by promoting the concept of data assimilation. My lifelong research goal is to embed real space into computers, or in other words, to make the matrix of everyday life (← the matrix of the movies).

External link

Degree

  • 理学博士 ( 東京大学 )

  • 理学修士 ( 東京大学 )

Education

  • 1989.3
     

    The University of Tokyo   doctor course   completed

  • 1986.3
     

    The University of Tokyo   master course   completed

  • 1984.3
     

    The University of Tokyo   graduated

Research History

  • 2019.4 - Now

    The Graduate University for Advanced Studies   School of Multidisciplinary Sciences Department of Statistical Science   Emeritus Professor

  • 2019.4 - Now

    The Institute of Statistical Mathematics   Emeritus Professor

  • 2019.4 - Now

    Bridgestone Corporation   Digital Solution Center   Distinguished Technical Advisor

  • 2019.4 - Now

    Chuo University   Faculty of Science and Engineering, Department of Data Science for Business Innovation   Professor

  • 2019.5 - 2025.3

    National Institute of Advanced Industrial Science and Technology   Artificial Intelligence Research Center   Research Emeritus Advisor

  • 2019.4 - 2023.6

    BrainPad Inc.   Advisor

  • 2020.4 - 2023.3

    Chuo University   AI and Data Science Center   Director

  • 2016.4 - 2019.3

    The Graduate University for Advanced Studies, SOKENDAI   Education and Research Council   Education and Research Council

  • 2011.10 - 2019.3

    Research Organization of Information and Systems

  • 2011.4 - 2019.3

    The Institute of Statistical Mathematics   Director in General

  • 2005 - 2019.3

    The Institute of Statistical Mathematics   Department of Statistical Modeling   Professor

  • 2010 - 2011

    The Institute of Statistical Mathematics   Department of Statistical Modeling

  • 2005 - 2010

    Research Organization of Information and Systems

  • 2004 - 2010

    The Institute of Statistical Mathematics

  • 2002 - 2005

    The Institute of Statistical Mathematics   Professor

  • 1994 - 2002

    The Institute of Statistical Mathematics   Department of Prediction and Control   Associate Professor

  • 1989 - 1994

    The Institute of Statistical Mathematics   Research Assistant

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Professional Memberships

  • THE JAPAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS

  • Japanese Society for Computational Statistics

  • Japan Society of Applied Statistics

  • American Statistical Association

  • International Statistical Institute

  • Japanese Society for Artificial Intelligence

  • The Institute of Electronics, Information and Communication Engineers (IEICE)

  • Japan Statistical Society

  • Japan Geoscience Union (JpGU)

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Research Interests

  • Time series analysis

  • Self-organization

  • Nonlinear

  • Parallel computing

  • Bayesian model

  • FoS

  • Self-organizing time series models

  • Seasonal component

  • Trend

  • State space representation

  • Soft computing

  • Spectral Discrimination

  • Generalized State Space Model

  • Seasonal variation

  • Sampling

  • Count data

  • Spectral analysis

  • Bayesian statistics

  • Graphical models

  • Monte Carlo methods

  • Multivariate time series

  • Genetic algorithms

  • Simulations

  • Satellite

  • Spatio-temporal models

  • Hyperparameter

  • Bayesian inference

  • Markov Switching

  • Kullback-Librar Kernel

  • Seasonal adjustment method

  • Particle filter

  • Target tracking

  • Hierarchical Bayes

  • Discovery Science

  • Self-organizing models

  • Non-Gaussian

  • Modeling

  • Non-Gaussian filter

  • General state space model

  • Non-stationary time series

  • Model Integration

  • Prediction

  • Nonparametric

  • Kalman filter

  • Time series

  • Ultra-multivariate time series

  • State space models

Research Areas

  • Informatics / Statistical science

  • Informatics / Soft computing

  • Informatics / Intelligent informatics

Papers

  • Inter-seasons and Inter-households Domain Adaptation Based on DANNs and Pseudo Labeling for Non-Intrusive Occupancy Detection Reviewed

    Hisashi Oshima, Tsuyoshi Ishizone, Tomoyuki Higuchi

    Transactions of the Japanese Society for Artificial Intelligence   39 ( 5 )   E - O41_1   2024.9

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    DOI: 10.1527/tjsai.39-5_e-o41

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  • 生産ラインにおける異常検知・非定常サイクル同定のオンラインシステム Reviewed

    石曽根 毅, 樋口 知之, 中村 和幸

    計測自動制御学会論文集   59 ( 7 )   342 - 352   2023.7

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    DOI: 10.9746/sicetr.59.342

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  • Ensemble kalman variational objective: a variational inference framework for sequential variational auto-encoders Reviewed

    Tsuyoshi Ishizone, Tomoyuki Higuchi, Kazuyuki Nakamura

    Nonlinear Theory and Its Applications, IEICE   14 ( 4 )   691 - 717   2023

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    DOI: 10.1587/nolta.14.691

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  • The Occurrence of Embedded Region 1 and 2 Currents Depends on Geomagnetic Activity Level Reviewed International journal

    Jiang Liu, T. Higuchi, L. R. Lyons, Shinichi Ohtani, Jiashu Wu, Ying Zou, V. Angelopoulos, Chih‐Ping Wang

    Journal of Geophysical Research: Space Physics   127 ( 11 )   2022.10

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    DOI: 10.1029/2022ja030539

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  • An Online System of Detecting Anomalies and Estimating Cycle Times for Production Lines Reviewed International journal

    Tsuyoshi Ishizone, Tomoyuki Higuchi, Kosuke Okusa, Kazuyuki Nakamura

    IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society   2022.10

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    DOI: 10.1109/iecon49645.2022.9969061

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  • Occupancy Detection for General Households by Bidirectional LSTM with Attention Reviewed International journal

    Hisashi Oshima, Tsuyoshi Ishizone, Kazuyuki Nakamura, Tomoyuki Higuchi

    IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society   2022.10

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    DOI: 10.1109/iecon49645.2022.9968594

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  • 家庭用スマートメータへの適用を目的とする世帯の在宅推定手法の開発 Reviewed

    大島悠, 石曽根毅, 樋口知之

    情報処理学会論文誌 デジタルプラクティス   51   2022.7

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  • 隣接領域との競争と共創が促す統計学の力強い発展 Reviewed

    樋口 知之

    日本統計学会誌   51 ( 2 )   213 - 244   2022.3

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  • Data-Driven Road Condition Forecasting with High Spatial Resolution: Utilizing Tire-Centric Road Condition Monitoring Technology Reviewed International journal

    Teppei Mori, Tomonori Ohiro, Yasushi Hanatsuka, Tomoyuki Higuchi

    2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)   2020.9

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    DOI: 10.1109/itsc45102.2020.9294592

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  • モデリング変革の4半世紀を振り返って Invited Reviewed

    樋口 知之

    統計数理   67 ( 2 )   157 - 164   2019.7

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  • Reconstructing the transmission dynamics of rubella in Japan, 2012-2013 Reviewed International journal

    Masaya M. Saito, Hiroshi Nishiura, Tomoyuki Higuchi

    PLOS ONE   13 ( 10 )   e0205889 - e0205889   2018.10

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    BACKGROUND: Japan experienced a nationwide rubella epidemic from 2012 to 2013, mostly in urban prefectures with large population sizes. The present study aimed to capture the spatiotemporal patterns of rubella using a parsimonious metapopulation epidemic model and examine the potential usefulness of spatial vaccination. METHODOLOGY/PRINCIPAL FINDINGS: A metapopulation epidemic model in discrete time and space was devised and applied to rubella notification data from 2012 to 2013. Employing a piecewise constant model for the linear growth rate in six different time periods, and using the particle Markov chain Monte Carlo method, the effective reproduction numbers were estimated at 1.37 (95% CrI: 1.12, 1.77) and 1.37 (95% CrI: 1.24, 1.48) in Tokyo and Osaka groups, respectively, during the growing phase of the epidemic in 2013. The rubella epidemic in 2012 involved substantial uncertainties in its parameter estimates and forecasts. We examined multiple scenarios of spatial vaccination with coverages of 1%, 3% and 5% for all of Japan to be distributed in different combinations of prefectures. Scenarios indicated that vaccinating the top six populous urban prefectures (i.e., Tokyo, Kanagawa, Osaka, Aichi, Saitama and Chiba) could potentially be more effective than random allocation. However, greater uncertainty was introduced by stochasticity and initial conditions such as the number of infectious individuals and the fraction of susceptibles. CONCLUSIONS: While the forecast in 2012 was accompanied by broad uncertainties, a narrower uncertainty bound of parameters and reliable forecast were achieved during the greater rubella epidemic in 2013. By better capturing the underlying epidemic dynamics, spatial vaccination could substantially outperform the random vaccination.

    DOI: 10.1371/journal.pone.0205889

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  • 災害時におけるリアルタイムな広域人流推定のための高精度な粒子フィルタの提案 Reviewed

    須藤明人, 樫山武浩, 矢部貴大, 樋口知之, 中野慎也, 斎藤正也, 関本義秀

    交通工学論文集   3 ( 2 )   A_76 - A_83   2017.3

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    DOI: 10.14954/jste.3.2_A_76

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  • Bayesian Inference of Forces Causing Cytoplasmic Streaming in Caenorhabditis elegans Embryos and Mouse Oocytes Reviewed

    Ritsuya Niwayama, Hiromichi Nagao, Tomoya S. Kitajima, Lars Hufnagel, Kyosuke Shinohara, Tomoyuki Higuchi, Takuji Ishikawa, Akatsuki Kimura

    PLOS ONE   11 ( 7 )   2016.7

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    DOI: 10.1371/journal.pone.0159917

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  • データサイエンティスト育成と人材利活用のベスト・プラクティス Invited

    丸山宏, 神谷直樹, 樋口知之, 竹村彰通, 大西立顕

    デジタルプラクティス   6 ( 3 )   223 - 229   2016.7

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  • 非線形埋込み型特徴量選択のための単結合ニューラルネットワークの提案

    須藤明人, 樋口知之, 中野慎也, 斎藤正也, 矢部貴大, 関本義秀

    電子情報通信学会技術研究報告   116 ( 121 )   127 - 131   2016.6

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  • Particle Filter for Real-time Human Mobility Prediction following Unprecedented Disaster Reviewed

    Akihito Sudo, Takehiro Kashiyama, Takahiro Yabe, Hiroshi Kanasugi, Xuan Song, Tomoyuki Higuchi, Shin'ya Nakano, Masaya Saito, Yoshihide Sekimoto

    24TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2016)   2016

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    DOI: 10.1145/2996913.2997000

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  • A sequential Bayesian approach for the estimation of the age-depth relationship of the Dome Fuji ice core Reviewed

    Shin'ya Nakano, Kazue Suzuki, Kenji Kawamura, Frederic Parrenin, Tomoyuki Higuchi

    NONLINEAR PROCESSES IN GEOPHYSICS   23 ( 1 )   31 - 44   2016

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    DOI: 10.5194/npg-23-31-2016

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  • Elevated β-catenin pathway as a novel target for patients with resistance to EGF receptor targeting drugs. Reviewed International journal

    Asuka Nakata, Ryo Yoshida, Rui Yamaguchi, Mai Yamauchi, Yoshinori Tamada, Andre Fujita, Teppei Shimamura, Seiya Imoto, Tomoyuki Higuchi, Masaharu Nomura, Tatsuo Kimura, Hiroshi Nokihara, Masahiko Higashiyama, Kazuya Kondoh, Hiroshi Nishihara, Arinobu Tojo, Seiji Yano, Satoru Miyano, Noriko Gotoh

    Scientific reports   5   13076 - 13076   2015.8

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    There is a high death rate of lung cancer patients. Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) are effective in some lung adenocarcinoma patients with EGFR mutations. However, a significant number of patients show primary and acquire resistance to EGFR-TKIs. Although the Akt kinase is commonly activated due to various resistance mechanisms, the key targets of Akt remain unclear. Here, we show that the Akt-β-catenin pathway may be a common resistance mechanism. We analyzed gene expression profiles of gefitinib-resistant PC9M2 cells that were derived from gefitinib-sensitive lung cancer PC9 cells and do not have known resistance mechanisms including EGFR mutation T790M. We found increased expression of Axin, a β-catenin target gene, increased phosphorylation of Akt and GSK3, accumulation of β-catenin in the cytoplasm/nucleus in PC9M2 cells. Both knockdown of β-catenin and treatment with a β-catenin inhibitor at least partially restored gefitinib sensitivity to PC9M2 cells. Lung adenocarcinoma tissues derived from gefitinib-resistant patients displayed a tendency to accumulate β-catenin in the cytoplasm. We provide a rationale for combination therapy that includes targeting of the Akt-β-catenin pathway to improve the efficacy of EGFR-TKIs.

    DOI: 10.1038/srep13076

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  • Developing data analytics skills in Japan: status and challenge Reviewed

    H. Maruyama, N. Kamiya, T. Higuchi, A. Takemura

    J. Jpn. Ind. Manage. Assoc.   Vol.65 ( No.4E )   334 - 339   2015.1

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    Japan needs to develop data analytics talent quickly in order to catch up with the trend of using data for making business decisions. The Ministry of Education, Culture, Sports, Science and Technology started a three-year project to develop so-called data scientists. This paper reviews the findings of the first year of the project, and discusses future challenges.

    DOI: 10.11221/jima.65.334

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  • ROAD CONDITION CLASSIFICATION USING A NEW GLOBAL ALIGNMENT KERNEL Reviewed

    Takato Goto, Yasushi Hanatsuka, Tomoyuki Higuchi, Tomoko Matsui

    2015 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING   1 - 6   2015

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    DOI: 10.1109/MLSP.2015.7324381

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  • Atom Environment Kernels on Molecules Reviewed

    Hiroshi Yamashita, Tomoyuki Higuchi, Ryo Yoshida

    JOURNAL OF CHEMICAL INFORMATION AND MODELING   54 ( 5 )   1289 - 1300   2014.5

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    DOI: 10.1021/ci400403w

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  • Estimation of temporal evolution of the helium plasmasphere based on a sequence of IMAGE/EUV images Reviewed

    S. Nakano, M-C. Fok, P. C. Brandt, T. Higuchi

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   119 ( 5 )   3708 - 3723   2014.5

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    DOI: 10.1002/2013JA019734

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  • Estimation of the helium ion density distribution in the plasmasphere based on a single IMAGE/EUV image Reviewed

    S. Nakano, M. -C. Fok, P. C. Brandt, T. Higuchi

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   119 ( 5 )   3724 - 3740   2014.5

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    DOI: 10.1002/2013JA019733

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  • Field-aligned currents during the extreme solar minimum between the solar cycles 23 and 24 Reviewed

    Simon Wing, Shinichi Ohtani, Jay Johnson, Gordon R. Wilson, Tomoyuki Higuchi

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   119 ( 4 )   2466 - 2475   2014.4

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    DOI: 10.1002/2013JA019452

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  • Solar cycle dependence of nightside field-aligned currents: Effects of dayside ionospheric conductivity on the solar wind-magnetosphere-ionosphere coupling Reviewed

    S. Ohtani, S. Wing, V. G. Merkin, T. Higuchi

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   119 ( 1 )   322 - 334   2014.1

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    DOI: 10.1002/2013JA019410

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  • Parameter estimation in multi-compartment SIR model Reviewed

    Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Satoru Miyano, Tomoyuki Higuchi

    2014 17TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION)   2014

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  • Estimation of temporal evolution of the helium plasmasphere based on a sequence of IMAGE/EUV images Reviewed

    S. Nakano, M. C. Fok, P. C. Brandt, T. Higuchi

    Journal of Geophysical Research: Space Physics   119 ( 5 )   3708 - 3723   2014

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Blackwell Publishing Ltd  

    DOI: 10.1002/2013JA019734

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  • Estimation of the helium ion density distribution in the plasmasphere based on a single IMAGE/EUV image Reviewed

    S. Nakano, M. C. Fok, P. C. Brandt, T. Higuchi

    Journal of Geophysical Research: Space Physics   119 ( 5 )   3724 - 3740   2014

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Blackwell Publishing Ltd  

    DOI: 10.1002/2013JA019733

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  • Field-aligned currents during the extreme solar minimum between the solar cycles 23 and 24 Reviewed

    Simon Wing, Shinichi Ohtani, Jay Johnson, Gordon R. Wilson, Tomoyuki Higuchi

    Journal of Geophysical Research: Space Physics   119 ( 4 )   2466 - 2475   2014

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Blackwell Publishing Ltd  

    DOI: 10.1002/2013JA019452

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  • Solar cycle dependence of nightside field-aligned currents: Effects of dayside ionospheric conductivity on the solar wind-magnetosphere-ionosphere coupling Reviewed

    S. Ohtani, S. Wing, V. G. Merkin, T. Higuchi

    Journal of Geophysical Research: Space Physics   119 ( 1 )   322 - 334   2014

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    DOI: 10.1002/2013JA019410

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  • Data assimilation system for seismoacoustic waves-verification by atwin experiment- Reviewed

    Nagao H, Higuchi T

    The institute of statistical mathematics   61巻 ( 2号 )   257 - 270   2013.12

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  • Extension and verification of the SEIR model on the 2009 influenza A (H1N1) pandemic in Japan Reviewed

    Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Hiroki Sato, Haruka Nakada, Masahiro Kami, Satoru Miyano, Tomoyuki Higuchi

    MATHEMATICAL BIOSCIENCES   246 ( 1 )   47 - 54   2013.11

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    DOI: 10.1016/j.mbs.2013.08.009

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  • Enhancement of Collective Immunity in Tokyo Metropolitan Area by Selective Vaccination against an Emerging Influenza Pandemic Reviewed

    Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Masaharu Tsubokura, Masahiro Kami, Haruka Nakada, Hiroki Sato, Satoru Miyano, Tomoyuki Higuchi

    PLOS ONE   8 ( 9 )   e43923   2013.9

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    DOI: 10.1371/journal.pone.0072866

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  • Data assimilation system for seismoacoustic waves Reviewed

    Nagao H, Higuchi T

    Proceedings of 16th International Conference on Information Fusion   1372 - 1377   2013.7

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  • An Analysis of Purchase History Data by a Brand Choice Model Considering the Change of Market Structure Reviewed

    Vol.21 ( No.1 )   37 - 59   2013.7

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    DOI: 10.11295/marketingscience.210103

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  • Data scientist: a key factor in innovation driven by big data

    Higuchi T

    Journal of Information Processing and Management   Vol.56 ( No.1 )   2 - 11   2013.4

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    To develop an efficient way of generating innovation driven by big data is a central issue in academia as well as industry. Although such a demand grows rapidly, a human resource development that is a key factor for realizing it remains the rarely-discussed problem. A data scientist with sufficient knowledge in statistics and machine learning is exactly a right person who plays a crucial role in making effective use of big data. In fact, the business community, in particular, social network game company has made significant efforts to attract them. In this paper, we address a problem in developing data scientists in Japan, and give a brief introduction of interesting internship program for PhD candidate or post-doctoral researcher which the Silicon Valley technology companies initiated in summer, 2012. Its program is designed to bridge a gap between academia and a career data science. Finally, we consider how to increase the data scientist in Japan effectively, and propose to realize a Japanese version of that program as soon as possible with a financial support of Japanese government.

    DOI: 10.1241/johokanri.56.2

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    Other Link: https://jlc.jst.go.jp/DN/JALC/10016665773?from=CiNii

  • Time-series modeling of tide gauge records for monitoring of the crustal activities related to oceanic trench earthquakes around Japan Reviewed

    Hiromichi Nagao, Tomoyuki Higuchi, Satoshi Miura, Daisuke Inazu

    Computer Journal   56 ( 3 )   355 - 364   2013.3

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    DOI: 10.1093/comjnl/bxs139

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  • MCMC Algorithm to Estimate Physical Parameters of a Fracture from Tracer Tests Reviewed

    Nagao H, Sato K, Higuchi T

    Journal of the Japanese Association for Petroleum Technology   第78巻 ( 第2号 )   197 - 209   2013.3

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    A tracer test is a powerful experiment to identify fractures in underground reservoirs, which significantly affect fluid flow in a porous medium. The complex variable boundary element method (CVBEM) is capable of simulating time-series of the tracer concentration at a producer when the physical properties of the medium and the tracer injection plan are given. Several studies have proposed inversion procedures to identify physical parameters of a fracture in a homogeneous porous medium, using such as the genetic algorithm (GA) or the ensemble Kalman filter (EnKF) combined with iterative computations of CVBEM. The present paper proposes, for this inversion problem, a Markov chain Monte Carlo (MCMC) algorithm, which enables us to obtain a posterior probability density function (PDF) as well as an optimum value for each model parameter that characterizes the fracture. The proposed algorithm is performed to twin experiments that confirm whether properties of a synthetically-assumed fracture are reproduced from time-series of tracer concentration at a producer, which CVBEM has computed in advance. A clustering result of the K-means, which is applied to the samples obtained by MCMC, provides candidate solutions corresponding to local maximums of the posterior PDF. The candidate solutions are ranked by the posterior PDF at the centroid of each cluster. Especially in the case of the two-directional tracer test, in which two pairs of injector and producer are located, the optimum parameter set that maximizes the posterior PDF successfully reproduces both the fracture properties and the concentration curves.

    DOI: 10.3720/japt.78.197

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    Other Link: https://jlc.jst.go.jp/DN/JALC/10019782927?from=CiNii

  • データ同化−モデルパラメータの分布推定−

    長尾 大道, 樋口 知之

    日本機械学会誌   Vol.116 ( No.1131 )   23 - 26   2013.2

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  • データ解析の神髄とは

    樋口 知之

    DIAMONDハーバード・ビジネス・レビュー   2013.2   98 - 108   2013.1

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  • Estimation of Abrupt Changes in Sentinel Observation Data of Influenza Epidemics in Japan Reviewed

    Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Satoru Miyano, Tomoyuki Higuchi

    2013 16TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION)   1385 - 1390   2013

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  • High Accuracy Spectrum Classification with Kernel Method

    ISHIGAKI Tsukasa, HIGUCHI Tomoyuki

    76 ( 12 )   741 - 743   2012.12

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  • 事例研究「状態空間モデルによるインターネット広告のクリック率予測 Reviewed

    本橋 永至, 磯崎 直樹, 長尾 大道, 樋口 知之

    オペレーションズ・リサーチ   Vol.57 ( No.10 )   574 - 583   2012.10

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    Language:Japanese   Publishing type:Research paper (other academic)   Publisher:公益社団法人日本オペレーションズ・リサーチ学会  

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  • Particle filter algorithm to analyze long-term tide gauge records for monitoring of the earth's crustal activities Reviewed

    Nagao H, Higuchi T, Miura S, Inazu D

    Journal of the japan statistical society   Vol.42 ( No.1 )   119 - 133   2012.9

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    The 140 tide gauge observatories located along the coastline of Japan have measured the sea levels for more than 100 years. A number of tide gauge records provide the information of the Earth's crustal activities associated with great earthquakes, e.g., the 2011 Great East Japan Earthquake, that occur periodically at the oceanic plate boundaries. The present paper develops an analysis procedure using the particle filter algorithm, which enables us to extract the crustal displacements from monthly means of the tide gauge records. The proposed method results that the plate boundary called "Nankai Trough" offshore west Japan has been rapidly accumulating the stress and strain energies, which will cause a great earthquake eventually. This result supports the hypothesis that the Tokai-Tonankai-Nankai Earthquake may occur in near future.

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    Other Link: http://dl.ndl.go.jp/info:ndljp/pid/10823273

  • ビッグデータと個人化技術

    樋口 知之

    月刊誌「統計」   9月号   2 - 9   2012.9

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  • Epidermal Growth Factor Receptor Tyrosine Kinase Defines Critical Prognostic Genes of Stage I Lung Adenocarcinoma Reviewed

    Mai Yamauchi, Rui Yamaguchi, Asuka Nakata, Takashi Kohno, Masao Nagasaki, Teppei Shimamura, Seiya Imoto, Ayumu Saito, Kazuko Ueno, Yousuke Hatanaka, Ryo Yoshida, Tomoyuki Higuchi, Masaharu Nomura, David G. Beer, Jun Yokota, Satoru Miyano, Noriko Gotoh

    PLOS ONE   7 ( 9 )   e43923   2012.9

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    DOI: 10.1371/journal.pone.0043923

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  • Identifiability of local transmissibility parameters in agent-based pandemic simulation Reviewed

    Saito M, Imoto S, Yamaguchi R, Miyano S, Higuchi T

    Proceedings of 15th International Conference on Information Fusion   2466 - 2471   2012.7

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  • Weight adjustment of the particle filter on distributed computing systems Reviewed

    Nakano S, Higuchi T

    Proceedings of 15th International Conference on Information Fusion   2480 - 2485   2012.7

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  • Data assimilation of the earth's atmospheric and ionospheric oscillations excited by large earthquakes Reviewed

    Nagao H, Higuchi T

    Proceedings of 15th International Conference on Information Fusion   2472 - 2779   2012.7

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  • Classification of Road-Surface Condition by Tire Acceleration Waveform Analysis Based on HMM Reviewed

    HANATSUKA Yasushi, HIGUCHI Tomoyuki, MATSUI Tomoko

    The IEICE transactions on information and systems (Japanese edetion)   Vol.J95-D ( No.3 )   570 - 577   2012.3

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  • A High-Resolution Shape Fitting and Simulation Demonstrated Equatorial Cell Surface Softening during Cytokinesis and Its Promotive Role in Cytokinesis Reviewed

    Hiroshi Koyama, Tamiki Umeda, Kazuyuki Nakamura, Tomoyuki Higuchi, Akatsuki Kimura

    PLOS ONE   7 ( 2 )   e31607.   2012.2

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    DOI: 10.1371/journal.pone.0031607

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  • Generating artistic character facial animation based on motion capture data Reviewed

    Hirose K, Higuchi T

    Proceedings of International Workshop on Advanced Image Technology   240 - 245   2012.1

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  • Parallel Agent-Based Simulator for Influenza Pandemic Reviewed

    Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Satoru Miyano, Tomoyuki Higuchi

    ADVANCED AGENT TECHNOLOGY   7068   361 - +   2012

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    DOI: 10.1007/978-3-642-27216-5_27

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  • Creating facial animation of characters via MoCap data Reviewed

    Kei Hirose, Tomoyuki Higuchi

    JOURNAL OF APPLIED STATISTICS   39 ( 12 )   2583 - 2597   2012

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    DOI: 10.1080/02664763.2012.724391

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  • Non-storm irregular variation of the D-st index Reviewed

    S. Nakano, T. Higuchi

    ANNALES GEOPHYSICAE   30 ( 1 )   153 - 162   2012

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    DOI: 10.5194/angeo-30-153-2012

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  • Modeling Human Behavior Selection under Environmental Subsidy Policy by Multi-agent Simulation Reviewed

    Tomoko Imoto, Shin'ya Nakano, Tomoyuki Higuchi

    ADVANCED AGENT TECHNOLOGY   7068   350 - 358   2012

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    DOI: 10.1007/978-3-642-27216-5_25

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  • A study of latitudinal dependence of Pc 3-4 amplitudes at 96° magnetic meridian stations in Africa Reviewed

    Takla EM, Yumoto K, Cardinal MG, Abe S, Fujimoto A, Ikeda A, Tokunaga T, Yamazaki Y, Uo-zumi T, Mahrous A, Ghamry E, Mengistu G, Afullo T, Macamo JA, Joao L, Mweene H, Mwiinga N, Uiso C, Baki P, Kianji G, Badi K, Sutcliffe P, Palangio P. Terumasa Tokunaga, Daisuke Ikeda, Kazuyuki Nakamura, Tomoyuki Higuchi, Akimasa Yoshikawa, Teiji Uozumi, Akiko Fujimoto, Akira Morioka, Kiyohumi Yumoto

    Sun and Geosphere   6 ( 2 )   65 - 70   2011.12

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  • Onset time determination of precursory events in time series data by an extension of Singular Spectrum Transformation Reviewed

    Tokunaga T, Ikeda D, Nakamura K, Higuchi T, Yoshikawa A, Uozumi T, Fujimoto A, Morioka A, Yumoto K

    International Journal of Circuits, Systems and Signal Processing   5 ( 1 )   46 - 60   2011.10

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  • Solar wind driving of dayside field-aligned currents Reviewed

    Simon Wing, Shin-ichi Ohtani, Jay R. Johnson, Marius Echim, Patrick T. Newell, Tomoyuki Higuchi, Genta Ueno, Gordon R. Wilson

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   116   A08208   2011.8

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    DOI: 10.1029/2011JA016579

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  • An algorithm for detecting precursory events from time series data Reviewed

    Tokunaga T, Ikeda D, Nakamura K, Higuchi T, Yoshikawa A, Uozumi T, Fujimoto A, Morioka A, Yumoto K

    Information Processing Society of Japan   Vol. 4 ( No. 3 )   14 - 34   2011.7

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  • Effect prediction and comparison of agricultural environmental policies by agent simulations Reviewed

    Imoto T, Nakano S, Higuchi T

    Japanese journal of food, agricultural and resource economics   第6巻 ( 第1号 )   89 - 101   2011.7

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  • Estimation of macroscopic parameter in agent-based pandemic simulation Reviewed

    Saitoh M, Imoto S, Yamaguchi R, Miyano S, Higuchi T

    Proceedings of 14th International Conference Fusion   2011.7

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  • Fault parameter estimation with data assimilation on infrasound variations due to big earthquakes Reviewed

    Nagao H, Kobayashi N, Nakano S, Higuchi T

    Proceedings of 14th International Conference Fusion   2011.7

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  • Embedding reality in a numerical simulation with data assimilation Reviewed

    Higuchi T

    Proceedings of 14th International Conference Fusion   2011.7

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  • Displacement of conjugate points during a substorm in a global magnetohydrodynamic simulation Reviewed

    S. Saita, A. Kadokura, N. Sato, S. Fujita, T. Tanaka, Y. Ebihara, S. Ohtani, G. Ueno, K. Murata, D. Matsuoka, A. Kitamoto, T. Higuchi

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   116   A06213   2011.6

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    DOI: 10.1029/2010JA016155

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  • Dynamic Brand Choice Modeling Based on the State-space Approach Reviewed

    Eiji Motohashi, Tomoyuki Higuchi

    Data Mining for Marketing   48-54   2011.4

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  • Displacement of conjugate points during a substorm in a global magnetohydrodynamic simulation Reviewed

    S. Saita, A. Kadokura, N. Sato, S. Fujita, T. Tanaka, Y. Ebihara, S. Ohtani, G. Ueno, K. Murata, D. Matsuoka, A. Kitamoto, T. Higuchi

    Journal of Geophysical Research: Space Physics   116 ( 6 )   2011

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    DOI: 10.1029/2010JA016155

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  • Solar wind driving of dayside field-aligned currents Reviewed

    Simon Wing, Shin-Ichi Ohtani, Jay R. Johnson, Marius Echim, Patrick T. Newell, Tomoyuki Higuchi, Genta Ueno, Gordon R. Wilson

    Journal of Geophysical Research: Space Physics   116 ( 8 )   2011

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    DOI: 10.1029/2011JA016579

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  • Dayside field-aligned current source regions Reviewed

    Simon Wing, Shin-ichi Ohtani, Patrick T. Newell, Tomoyuki Higuchi, Genta Ueno, James M. Weygand

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   115   2010.12

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    DOI: 10.1029/2010JA015837

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  • Locations of night-side precipitation boundaries relative to R2 and R1 currents Reviewed

    S. Ohtani, S. Wing, P. T. Newell, T. Higuchi

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   115 ( A10233 )   2010.10

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    DOI: 10.1029/2010JA015444

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  • Fault detection of a vibration mechanism by spectrum classification with a divergence-based kernel Reviewed

    T. Ishigaki, T. Higuchi, K. Watanabe

    IET SIGNAL PROCESSING   4 ( 5 )   518 - 529   2010.10

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    DOI: 10.1049/iet-spr.2008.0195

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  • Special section on data mining and statistical science Reviewed

    Masashi Sugiyama, Tomoyuki Higuchi, Tsuyoshi Ide, Akihiro Inokuchi, Toshihiro Kamishima, Hiroyuki Minami, Shinichi Nakajima, Atsuyoshi Nakamura, Koichi Shinoda, Koji Tsuda, Takashi Washio

    IEICE Transactions on Information and Systems   E93-D ( 10 )   2671   2010.10

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  • Bayesian experts in exploring reaction kinetics of transcription circuits Reviewed

    Ryo Yoshida, Masaya M. Saito, Hiromichi Nagao, Tomoyuki Higuchi

    BIOINFORMATICS   26 ( 18 )   i589 - i595   2010.9

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    DOI: 10.1093/bioinformatics/btq389

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  • Bayesian experts in exploring reaction kinetics of transcription circuits Reviewed

    Ryo Yoshida, Masaya M. Saito, Hiromichi Nagao, Tomoyuki Higuchi

    BIOINFORMATICS   26 ( 18 )   i589 - i595   2010.9

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    DOI: 10.1093/bioinformatics/btq389

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  • A Multivariable Detection Device Based on a Capacitive Microphone and Its Application to Security Reviewed

    Kajiro Watanabe, Tsukasa Ishigaki, Tomoyuki Higuchi

    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT   59 ( 7 )   1955 - 1963   2010.7

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    DOI: 10.1109/TIM.2009.2030716

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  • Web application for time-series analysis based on particle filter available on cloud computing system Reviewed

    Nagao, H, T. Higuchi

    The Proceedings of 13th International Conference on Information Fusion   2010.7

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    DOI: 10.1109/ICIF.2010.5712015

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  • Maximum likelihood estimation of error covariances in ensemble-based filters and its application to a coupled atmosphere-ocean model Reviewed

    Genta Ueno, Tomoyuki Higuchi, Takashi Kagimoto, Naoki Hirose

    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY   136 ( 650 )   1316 - 1343   2010.7

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    DOI: 10.1002/qj.654

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  • A state space representation of VAR models with sparse learning for dynamic gene networks. Reviewed

    Kojima K, Yamaguchi R, Imoto S, Yamauchi M, Nagasaki M, Yoshida R, Shimamura T, Ueno K, Higuchi T, Gotoh N, Miyano S

    Genome informatics. International Conference on Genome Informatics   22   56 - 68   2010.1

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    We propose a state space representation of vector autoregressive model and its sparse learning based on L1 regularization to achieve efficient estimation of dynamic gene networks based on time course microarray data. The proposed method can overcome drawbacks of the vector autoregressive model and state space model; the assumption of equal time interval and lack of separation ability of observation and systems noises in the former method and the assumption of modularity of network structure in the latter method. However, in a simple implementation the proposed model requires the calculation of large inverse matrices in a large number of times during parameter estimation process based on EM algorithm. This limits the applicability of the proposed method to a relatively small gene set. We thus introduce a new calculation technique for EM algorithm that does not require the calculation of inverse matrices. The proposed method is applied to time course microarray data of lung cells treated by stimulating EGF receptors and dosing an anticancer drug, Gefitinib. By comparing the estimated network with the control network estimated using non-treated lung cells, perturbed genes by the anticancer drug could be found, whose up- and down-stream genes in the estimated networks may be related to side effects of the anticancer drug.

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  • Locations of night-side precipitation boundaries relative to R2 and R1 currents Reviewed

    S. Ohtani, S. Wing, P. T. Newell, T. Higuchi

    Journal of Geophysical Research: Space Physics   115 ( 10 )   2010

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    DOI: 10.1029/2010JA015444

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  • Detecting Precursory Events in Time Series Data by an Extension of Singular Spectrum Transformation Reviewed

    Terumasa Tokunaga, Tomoyuki Higuchi, Akiko Fujimoto, Daisuke Ikeda, Akimasa Yoshikawa, Akira Morioka, Kazuyuki Nakamura, Teiji Uozumi, Kiyofumi Yumoto

    SELECTED TOPICS IN APPLIED COMPUTER SCIENCE   366 - +   2010

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  • Optimization of boundary condition and physical parameter in an ocean tide model using an evolutionary algorithm Reviewed

    Inazu D, Higuchi T, Nakamura K

    Theoretical and Applied Mechanics Japan   58   101 - 112   2010

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    DOI: 10.11345/nctam.58.101

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  • A dynamic grouping strategy for implementation of the particle filter on a massively parallel computer Reviewed

    S. Nakano, T. Higuchi

    Proceedings of the 13th International Conference on Information Fusion   2010

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    DOI: 10.1109/ICIF.2010.5712049

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  • Dayside field-aligned current source regions Reviewed

    Simon Wing, Shin-Ichi Ohtani, Patrick T. Newell, Tomoyuki Higuchi, Genta Ueno, James M. Weygand

    Journal of Geophysical Research: Space Physics   115 ( 12 )   2010

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    DOI: 10.1029/2010JA015837

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  • A new particle filter for high-dimensional state-space models based on intensive and extensive proposal distribution.

    Viet Phuong Nguyen, Takashi Washio, Tomoyuki Higuchi

    International Journal of Knowledge Engineering and Soft Data Paradigms   2 ( 4 )   284 - 311   2010

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    DOI: 10.1504/IJKESDP.2010.037492

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  • Implementation of Sequential Importance Sampling in GPGPU

    Keisuke Hayashi, Masaya M. Saito, Ryo Yoshida, Tomoyuki Higuchi

    13th Conference on Information Fusion, Fusion 2010   2010

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    DOI: 10.1109/icif.2010.5712017

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  • Dependence of premidnight field-aligned currents and particle precipitation on solar illumination Reviewed

    S. Ohtani, S. Wing, G. Ueno, T. Higuchi

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   114   2009.12

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    DOI: 10.1029/2009JA014115

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  • Estimation of a Long-Term Variation of a Magnetic-Storm Index Using the Merging Particle Filter Reviewed

    Shin'ya Nakano, Tomoyuki Higuchi

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E92D ( 7 )   1382 - 1387   2009.7

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    DOI: 10.1587/transinf.E92.D.1382

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  • Accurate ocean tide modeling in southeast Alaska and large tidal dissipation around Glacier Bay Reviewed

    Daisuke Inazu, Tadahiro Sato, Satoshi Miura, Yusaku Ohta, Kazuyuki Nakamura, Hiromi Fujimoto, Christopher F. Larsen, Tomoyuki Higuchi

    JOURNAL OF OCEANOGRAPHY   65 ( 3 )   335 - 347   2009.6

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    DOI: 10.1007/s10872-009-0031-y

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  • 細胞内生化学反応経路のグラフィカルモデリングと統計的推測手法の新展開 Reviewed

    吉田 亮, 樋口 知之

    日本統計学会誌   Vol.38 ( No.2 )   213 - 236   2009.3

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  • Impact of the solar wind dynamic pressure on the Region 2 field-aligned currents Reviewed

    S. Nakano, G. Ueno, S. Ohtani, T. Higuchi

    Journal of Geophysical Research: Space Physics   114 ( 2 )   2009.2

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    DOI: 10.1029/2008JA013674

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  • 動的個人モデルによる購買生起行動の解析 Reviewed

    佐藤 忠彦, 樋口 知之

    マーケティング・サイエンス   Vol.16 ( No.1・2 )   49 - 73   2009.2

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  • Impact of the solar wind dynamic pressure on the Region 2 field-aligned currents Reviewed

    S. Nakano, G. Ueno, S. Ohtani, T. Higuchi

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   114   A02221   2009.2

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    DOI: 10.1029/2008JA013674

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  • 粒子フィルタによる地盤解析のデータ同化 Reviewed

    村上 章, 西村 伸一, 藤澤 和謙, 中村 和幸, 樋口 知之

    応用力学論文集   12   99 - 105   2009

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  • Dependence of premidnight field-aligned currents and particle precipitation on solar illumination Reviewed

    S. Ohtani, S. Wing, G. Ueno, T. Higuchi

    Journal of Geophysical Research: Space Physics   114 ( 12 )   2009

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    DOI: 10.1029/2009JA014115

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  • Particle filtering in data assimilation and its application to boundary condition of tsunami simulation model Reviewed

    Nakamura K, Hirose N, Choi B.H Y, Higuchi T

    Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications   353 - 366   2009

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  • Dynamic spectrum classification by Kernel classifiers with divergence-based Kernels and its applications to acoustic signals Reviewed

    Ishigaki T, Higuchi T

    International Journal of Knowledge Engineering and Soft Data Paradigms   1873 - 1876   2009

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    DOI: 10.1109/ICASSP.2008.4517999

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  • PARAMETER ESTIMATION OF IN SILICO BIOLOGICAL PATHWAYS WITH PARTICLE FILTERING TOWARDS A PETASCALE COMPUTING Reviewed

    Kazuyuki Nakamura, Ryo Yoshida, Masao Nagasaki, Satoru Miyano, Tomoyuki Higuchi

    PACIFIC SYMPOSIUM ON BIOCOMPUTING 2009   227 - +   2009

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  • PARAMETER ESTIMATION OF IN SILICO BIOLOGICAL PATHWAYS WITH PARTICLE FILTERING TOWARDS A PETASCALE COMPUTING Reviewed

    Kazuyuki Nakamura, Ryo Yoshida, Masao Nagasaki, Satoru Miyano, Tomoyuki Higuchi

    PACIFIC SYMPOSIUM ON BIOCOMPUTING 2009   227 - +   2009

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  • Merging Particle Filter and Its Characteristics Reviewed

    Vol.56 ( No.2 )   225 - 234   2008.12

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  • Bayesian learning of biological pathways on genomic data assimilation Reviewed

    Ryo Yoshida, Masao Nagasaki, Rui Yamaguchi, Seiya Imoto, Satoru Miyano, Tomoyuki Higuchi

    BIOINFORMATICS   24 ( 22 )   2592 - 2601   2008.11

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    DOI: 10.1093/bioinformatics/btn483

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  • Rejoinder(<Special Section>Commemoration of the 75th Anniversary of the Japan Statistical society (III)) Reviewed

    Sato Tadahiko, Higuchi Tomoyuki

    Journal of the Japan Statistical Society Japanese issue   38 ( 1 )   31 - 38   2008.9

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  • An analysis of shopping trip behavior using dynamic individual model(<Special Section>Commemoration of the 75th Anniversary of the Japan Statistical society (III)) Reviewed

    Sato Tadahiko, Higuchi Tomoyuki

    Journal of the Japan Statistical Society Japanese issue   38 ( 1 )   1 - 19   2008.9

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    In the marketing field, activities such as One-to-One Marketing and Customer Relationship Management (CRM) have gotten a lot of attention for its effectiveness. The concept of those activities is based on the notion of consumer heterogeneity in the marketing. It is necessary to incorporate consumer heterogeneity and dynamic trait into a statistical model for evaluating the activities adequately. In this paper, we propose dynamic individual models for analyzing the shopping trip behavior individually. We formulate the model with framework of a general state space model. We realize an estimation of the model by using particle filter/fixed lag smoother. We show that the proposed model allow us to discriminate an individual's shopping trip behavior correctly using frequent shoppers data.

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  • A method for estimating the ring current structure and the electric potential distribution using energetic neutral atom data assimilation Reviewed

    S. Nakano, G. Ueno, Y. Ebihara, M. C. Fok, S. Ohtani, P. C. Brandt, D. G. Mitchell, K. Keika, T. Higuchi

    Journal of Geophysical Research: Space Physics   113 ( 5 )   5208   2008.5

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    DOI: 10.1029/2006JA011853

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  • Detection of Worn-out Banknote by Using Acoustic Signals : Time-varying Spectrum Classification by Divergence-based Kernel Machines Reviewed

    ISHIGAKI Tsukasa, HIGUCHI Tomoyuki

    44 ( 5 )   444 - 449   2008.5

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    DOI: 10.9746/ve.sicetr1965.44.444

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  • A method for estimating the ring current structure and the electric potential distribution using energetic neutral atom data assimilation Reviewed

    S. Nakano, G. Ueno, Y. Ebihara, M. -C. Fok, S. Ohtani, P. C. Brandt, D. G. Mitchell, K. Keika, T. Higuchi

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   113 ( A5 )   A05208   2008.5

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  • Geodetic inversion for space-time distribution of fault slip with time-varying smoothing regularization Reviewed

    Jun'ichi Fukuda, Shin'ichi Miyazaki, Tomoyuki Higuchi, Teruyuki Kato

    GEOPHYSICAL JOURNAL INTERNATIONAL   173 ( 1 )   25 - 48   2008.4

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    DOI: 10.1111/j.1365-246X.2007.03722.x

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  • Statistical inference of transcriptional module-based gene networks from time course gene expression profiles by using state space models Reviewed

    Osamu Hirose, Ryo Yoshida, Seiya Imoto, Rui Yamaguchi, Tomoyuki Higuchi, D. Stephen Charnock-Jones, Cristin Print, Satoru Miyano

    BIOINFORMATICS   24 ( 7 )   932 - 942   2008.4

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    DOI: 10.1093/bioinformatics/btm639

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  • Parameter identification of a pressure regulator with a nonlinear structure using a particle filter based on the nonlinear state space model Reviewed

    Tsukasa Ishigaki, Tomoyuki Higuchi

    Proceedings of the 11th International Conference on Information Fusion, FUSION 2008   886 - 891   2008

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    DOI: 10.1109/ICIF.2008.4632304

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  • Dynamic spectrum classification by divergence-based kernel machines and its application to the detection of worn-out banknotes Reviewed

    Tsukasa Ishigaki, Tomoyuki Higuchi

    2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12   1873 - +   2008

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    DOI: 10.1109/ICASSP.2008.4517999

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  • PREDICTING DIFFERENCES IN GENE REGULATORY SYSTEMS BY STATE SPACE MODELS Reviewed

    Rui Yamaguchi, Seiya Imoto, Mai Yamauchi, Masao Nagasaki, Ryo Yoshida, Teppei Shimamura, Yosuke Hatanaka, Kazuko Ueno, Tomoyuki Higuchi, Noriko Gotoh, Satoru Miyano

    GENOME INFORMATICS 2008, VOL 21   21   101 - +   2008

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    DOI: 10.11234/gi1990.21.101

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  • PREDICTING DIFFERENCES IN GENE REGULATORY SYSTEMS BY STATE SPACE MODELS Reviewed

    Rui Yamaguchi, Seiya Imoto, Mai Yamauchi, Masao Nagasaki, Ryo Yoshida, Teppei Shimamura, Yosuke Hatanaka, Kazuko Ueno, Tomoyuki Higuchi, Noriko Gotoh, Satoru Miyano

    GENOME INFORMATICS 2008, VOL 21   21   101 - +   2008

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    DOI: 10.11234/gi1990.21.101

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  • ハリウッド映画に見る近未来の情報技術:パーソナライゼーション技術

    樋口 知之

    日本知能情報ファジー学会   Vol.20 ( No.2 )   1   2008

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  • Analyzing time course gene expression data with biological and technical replicates to estimate gene networks by state space models Reviewed

    Osamu Hirose, Ryo Yoshida, Rui Yamaguchi, Seiya Imoto, Tomoyuki Higuchi, Satoru Miyano

    Proceedings - 2nd Asia International Conference on Modelling and Simulation, AMS 2008   940 - 946   2008

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    DOI: 10.1109/AMS.2008.150

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  • Deterioration diagnosis of pressure regulator for high pressure gas by spectrum classification with the Kullback-Leibler Kernel Reviewed

    Ishigaki T, Higuchi T, Watanabe K

    The Journal of the Institute of Electronics, Information and Communication Engineers   Vol.J90-D ( No.10 )   2787 - 2797   2007.10

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  • Particle precipitation characteristics in the dayside four-sheet field-aligned current structure Reviewed

    Genta Ueno, Tomoyuki Higuchi, Shin-Ichi Ohtani, Patrick T. Newell

    Journal of Geophysical Research: Space Physics   112 ( 6 )   2007.6

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    DOI: 10.1029/2006JA012036

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  • Particle precipitation characteristics in the dayside four-sheet field-aligned current structure Reviewed

    Genta Ueno, Tomoyuki Higuchi, Shin-ichi Ohtani, Patrick T. Newell

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   112 ( A6 )   A06242   2007.6

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    DOI: 10.1029/2006JA012036

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  • Information fusion-based multiobjective security system with a multiple-input/single-output sensor Reviewed

    Tsukasa Ishigaki, Tomoyuki Higuchi, Kajiro Watanabe

    IEEE SENSORS JOURNAL   7 ( 5-6 )   734 - 742   2007.5

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    DOI: 10.1109/JSEN.2007.894887

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  • Finding module-based gene networks with state-space models Reviewed

    Rui Yamaguchi, Ryo Yoshida, Seiya Imoto, Tomoyuki Higuchi, Satoru Miyano

    IEEE SIGNAL PROCESSING MAGAZINE   24 ( 1 )   37 - 46   2007.1

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  • Merging particle filter for sequential data assimilation Reviewed

    S. Nakano, G. Ueno, T. Higuchi

    NONLINEAR PROCESSES IN GEOPHYSICS   14 ( 4 )   395 - 408   2007

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  • A knowledge discovery from POS data using state space models: An analysis of change in price elasticities by new product's entry to market Reviewed

    Tadahiko Sato, Tomoyuki Higuchi

    Transactions of the Japanese Society for Artificial Intelligence   22 ( 2 )   200 - 208   2007

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    DOI: 10.1527/tjsai.22.200

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  • Spectrum classification for early fault diagnosis of the LP gas pressure regulator based on the Kullback-Leibler kernel Reviewed

    Tsukasa Ishigaki, Tomoyuki Higuchi, Kajiro Watanabe

    Proceedings of the 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, MLSP 2006   453 - 458   2007

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    DOI: 10.1109/MLSP.2006.275593

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  • Application of the Ensemble Kalman Filter and Smoother to a Coupled Atmosphere-ocean Model Reviewed

    Genta Ueno, Tomoyuki Higuchi, Takashi Kagimoto, Naoki Hirose

    SOLA   3   5 - 8   2007

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    DOI: 10.2151/sola.2007-002

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  • Clustering samples characterized by time course gene expression profiles using the mixture of state space models Reviewed

    Osamu Hirose, Ryo Yoshida, Rui Yamaguchi, Seiya Imoto, Tomoyuki Higuchi, Satoru Miyano

    GENOME INFORMATICS 2007, VOL 18   18   258 - +   2007

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    DOI: 10.11234/gi1990.18.258

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  • POSデータの時系列モデリングによる知識発見 : 新製品投入の消費者価格反応変化に及ぼす影響の解析 Reviewed

    佐藤忠彦, 樋口知之

    人工知能学会論文誌   22 ( 2 )   200 - 208   2007

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    The number of competing-brands changes by new products entry. The new product introduction is endemic among consumer packaged goods firm and is an integral component of their marketing strategy. As a new products entry affects markets, there is a pressing need to develop market response model that can adapt to such changes. In this paper, we develop a dynamic model that capture the underlying evolution of the buying behavior associated with the new product. This extends an application of a dynamic linear model, which is used by a number of time series analyses, by allowing the observed dime...

    DOI: 10.1527/tjsai.22.200

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  • Graph Mining and Its Application to Statistical Modeling

    54 ( 2 )   315 - 331   2006.12

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  • Automatic Online Detection and Classification of Occurring Disaster with a Multivariable Detecting Sensor for Home Security System Reviewed

    ISHIGAKI Tsukasa, HIGUCHI Tomoyuki, WATANABE Kajiro

    The IEICE transactions on information and systems   89 ( 11 )   2404 - 2412   2006.11

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  • ArrayCluster: an analytic tool for clustering, data visualization and module finder on gene expression profiles Reviewed

    Ryo Yoshida, Tomoyuki Higuchi, Seiya Imoto, Satoru Miyano

    BIOINFORMATICS   22 ( 12 )   1538 - 1539   2006.6

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    DOI: 10.1093/bioinformatics/btl129

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  • Adjustment of sampling locations in rail-geometry datasets: Using dynamic programming and nonlinear filtering Reviewed

    Masako Kamiyama, Tomoyuki Higuchi

    Systems and Computers in Japan   37 ( 1 )   61 - 70   2006.1

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    DOI: 10.1002/scj.20313

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  • Error tolerant model for incorporating biological knowledge with expression data in estimating gene networks Reviewed

    Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Satoru Miyano

    Statistical Methodology   3 ( 1 )   1 - 16   2006.1

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    DOI: 10.1016/j.stamet.2005.09.013

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  • Application of the ensemble Kalman filter to atmosphere-ocean coupled model Reviewed

    G. Ueno, T. Higuchi, T. Kagimoto, N. Hirose

    NSSPW: NONLINEAR STATISTICAL SIGNAL PROCESSING WORKSHOP   125 - +   2006

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  • State-space approach with the maximum likelihood principle to identify the system generating time-course gene expression data of yeast Reviewed

    Rui Yamaguchi, Tomoyuki Higuchi

    INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS   1 ( 1 )   77 - 87   2006

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  • Sequential data assimilation: Information fusion of a numerical simulation and large scale observation data Reviewed

    Kazuyuki Nakamura, Tomoyuki Higuchi, Naoki Hirose

    JOURNAL OF UNIVERSAL COMPUTER SCIENCE   12 ( 6 )   608 - 626   2006

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  • A multi-variable detecting sensor and its application Reviewed

    Kenji Koyama, Kajiro Watanabe, Kazuyuki Kobayashi, Tosuke Kurihara, Tsukasa Ishigaki, Tomoyuki Higuchi

    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13   1004 - +   2006

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  • Online detection and classification of disasters by a multiple-input/single-output sensor for a home security system Reviewed

    Tsukasa Ishigaki, Tomoyuki Higuchi, Kajiro Watanabe

    2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10   3136 - +   2006

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  • From closed tree mining towards closed DAG mining Reviewed

    Alexandre TermierYoshinori TamadaSeiya ImotoTakashi WashioTomoyuki Higuchi

    Proc. DMSS2006 : The Int. Workshop on Data-Mining and Statistical Science   1 - 7   2006

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  • Genomic data assimilation for estimating hybrid functional Petri net from time-course gene expression data. Reviewed

    Nagasaki, M., Yamaguchi, R., Yoshida, R., Imoto, S., Doi, A., Tamada, Y., Matsuno, H., Miyano, S., Higuchi, T.

    Genome informatics. International Conference on Genome Informatics   17 ( 1 )   46 - 61   2006

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    DOI: 10.11234/gi1990.17.46

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  • Modeling and estimation of dynamic EGFR pathway by data assimilation approach using time series proteomic data. Reviewed

    Tasaki S, Nagasaki M, Oyama M, Hata H, Ueno K, Yoshida R, Higuchi T, Sugano S, Miyano S

    Genome informatics. International Conference on Genome Informatics   17 ( 2 )   226 - 238   2006

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  • Online detection and classification of disasters by a multiple-input/ single-output sensor for a home security system

    Tsukasa Ishigaki, Tomoyuki Higuchi, Kajiro Watanabe

    IEEE International Conference on Neural Networks - Conference Proceedings   3136 - 3143   2006

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    DOI: 10.1109/ijcnn.2006.247296

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  • Statistical Inference using Stochastic Switching Models for the Discrimination of Unobserved Non-Price Promotion Reviewed

    Sato Tadahiko, Higuchi Tomoyuki, Kitagawa Genshiro

    Transactions of the Japan Society for Industrial and Applied Mathematics   15 ( 4 )   537 - 570   2005.12

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    It is known that an execution of price and/or a non-price promotion has a strong influence on the sales of a brand sold in a supermarket. Usually, we can easily obtain information on a price promotion from a POS data. On the other hand, unless investigator collects information on an execution of non-price promotion in every retail store, we can not obtain such information. In this paper, we consider a problem to identify whether or not non-price promotion is conducted. We treat a non-price promotion execution/non-execution as a state variable. An unknown stationary probability matrix is assumed to describe the probability of a transition between states. Each state is characterized by a different stationary time series model with unknown parameters. An objective of the analysis is to identify the model and to assign a probability model for each state at each time instant. Finally, we give a high precision estimator of a past non-price promotion based on the proposal model.

    DOI: 10.11540/jsiamt.15.4_537

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  • Particle Filter Invited

    HIGUCHI Tomoyuki

    The Journal of the Institute of Electronics, Information and Communication Engineers   88 ( 12 )   989 - 994   2005.12

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  • Missing Region Modeling and the Multivariate Normal Mixture Model Reviewed

    NAKAMURA Nagatomo, UENO Genta, HIGUCHI Tomoyuki, KONISHI Sadanori

    Ouyou toukeigaku   34 ( 2 )   57 - 73   2005.12

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    A dataset that contains missing regions is assumed to arise from two or more populations. In order to decompose the data into meaningful component distributions, a normal mixture model can be applied. A problem with this approach is that the estimated parameters are biased by fitting the standard normal mixture model. To correct the bias, a log-likelihood function for missing region probabilities is constructed, and the maximum likelihood estimators of the parameters - i.e. mix-ing proportions, mean vectors, and variance-covariance matrixes - are derived in the context of the EM algorithm. The performance of the model is verified by numerical experiments, and the model is applied to plasma velocity data.

    DOI: 10.5023/jappstat.34.57

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  • Comparison of large-scale field-aligned currents under sunlit and dark ionospheric conditions Reviewed

    S Ohtani, G Ueno, T Higuchi

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   110 ( A9 )   2005.9

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    DOI: 10.1029/2005JA011057

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  • Annual and semiannual variations of the location and intensity of large-scale field-aligned currents Reviewed

    S Ohtani, G Ueno, T Higuchi, H Kawano

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   110 ( A1 )   2005.1

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    DOI: 10.1029/2004JA010634

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  • データ同化:その概念と計算アルゴリズム Reviewed

    中村和幸, 上野玄太, 樋口知之

    統計数理   53 ( 2 )   211 - 229   2005

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  • Comparison of large-scale field-aligned currents under sunlit and dark ionospheric conditions Reviewed

    S. Ohtani, G. Ueno, T. Higuchi

    Journal of Geophysical Research: Space Physics   110 ( 9 )   2005

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    DOI: 10.1029/2005JA011057

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  • Estimating time-dependent gene networks from time series microarray data by dynamic linear models with Markov switching Reviewed

    R Yoshida, S Imoto, T Higuchi

    2005 IEEE Computational Systems Bioinformatics Conference, Proceedings   289 - 298   2005

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    DOI: 10.1109/CSB.2005.32

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  • Estimating time-dependent gene networks from time series microarray data by dynamic linear models with Markov switching Reviewed

    R Yoshida, S Imoto, T Higuchi

    2005 IEEE Computational Systems Bioinformatics Conference, Proceedings   289 - 298   2005

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    DOI: 10.1109/CSB.2005.32

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  • Annual and semiannual variations of the location and intensity of large-scale field-aligned currents Reviewed

    S. Ohtani, G. Ueno, T. Higuchi, H. Kawano

    Journal of Geophysical Research: Space Physics   110 ( 1 )   2005

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    DOI: 10.1029/2004JA010634

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  • A penalized likelihood estimation on transcriptional module-based clustering Reviewed

    R Yoshida, S Imoto, T Higuchi

    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2005, PT 3   3482   389 - 401   2005

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  • Residual bootstrapping and median filtering for robust estimation of gene networks from microarray data Reviewed

    S Imoto, T Higuchi, SY Kim, E Jeong, S Miyano

    COMPUTATIONAL METHODS IN SYSTEMS BIOLOGY   3082   149 - 160   2005

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  • Two Methods of Pi2 Onset Time Determination with Information Criterion Based on the State Space and Bayesian Modelings Reviewed

    FUKUYAMA Keiko, HIGUCHI Tomoyuki, UOZUMI Teiji, KAWANO Hideaki, YUMOTO Kiyohumi

    The Transactions of the Institute of Electronics, Information and Communication Engineers A   87 ( 12 )   1502 - 1510   2004.12

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  • A new approach to time-dependent inversion of geodetic data using a Monte Carlo mixture Kalman filter Reviewed

    J Fukuda, T Higuchi, S Miyazaki, T Kato

    GEOPHYSICAL JOURNAL INTERNATIONAL   159 ( 1 )   17 - 39   2004.10

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    DOI: 10.1111/j.1365-246X.2004.02383.x

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  • Adjustment of Sampling Locations in Rail-Geometry Datasets : Using Dynamic Programming and Non-linear Filtering Reviewed

    KAMIYAMA Masako, HIGUCHI Tomoyuki

    The Transactions of the Institute of Electronics,Information and Communication Engineers.   87 ( 6 )   1199 - 1207   2004.6

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  • 状態空間モデルを用いた飲食店売上の要因分解 Reviewed

    山口類, 土屋映子, 樋口知之

    オペレーションズ・リサーチ : 経営の科学   49 ( 5 )   316 - 324   2004.5

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  • Combining microarrays and biological knowledge for estimating gene networks via Bayesian networks Reviewed

    Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano

    Journal of Bioinformatics and Computational Biology   2 ( 1 )   77 - 98   2004.3

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    DOI: 10.1142/S021972000400048X

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  • Statistical inference using stochastic switching models for the discrimination of unobserved display promotion from POS data Reviewed

    T Sato, T Higuchi, G Kitagawa

    MARKETING LETTERS   15 ( 1 )   37 - 60   2004.2

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  • A mixed factors model for dimension reduction and extraction of a group structure in gene expression data Reviewed

    R Yoshida, T Higuchi, S Imoto

    2004 IEEE COMPUTATIONAL SYSTEMS BIOINFORMATICS CONFERENCE, PROCEEDINGS   161 - 172   2004

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  • A mixed factors model for dimension reduction and extraction of a group structure in gene expression data Reviewed

    R Yoshida, T Higuchi, S Imoto

    2004 IEEE COMPUTATIONAL SYSTEMS BIOINFORMATICS CONFERENCE, PROCEEDINGS   161 - 172   2004

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  • Lower mantle conductivity anomalies estimated from geomagnetic jerks

    NAGAO H, IYEMORI T, HIGUCHI T, ARAKI T

    J Geophys Res   108 ( B5 )   EPM8.1-EPM8.18   2003.5

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  • Lower mantle conductivity anomalies estimated from geomagnetic jerks Reviewed

    H Nagao, T Iyemori, T Higuchi, T Araki

    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH   108 ( B5 )   2003.5

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    DOI: 10.1029/2002JB001786

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  • Smoothness prior approach to explore mean structure in large-scale time series Reviewed

    G Kitagawa, T Higuchi, FN Kondo

    THEORETICAL COMPUTER SCIENCE   292 ( 2 )   431 - 446   2003.1

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  • Combining microarrays and biological knowledge for estimating gene networks via Bayesian networks Reviewed

    S Imoto, T Higuchi, T Goto, K Tashiro, S Kuhara, S Miyano

    PROCEEDINGS OF THE 2003 IEEE BIOINFORMATICS CONFERENCE   2   104 - 113   2003

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    DOI: 10.1109/CSB.2003.1227309

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  • Local time features of geomagnetic jerks Reviewed

    H Nagao, T Iyemori, T Higuchi, S Nakano, T Araki

    EARTH PLANETS AND SPACE   54 ( 2 )   119 - 131   2002

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    DOI: 10.1186/BF03351712

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  • Maneuvering target tracking by using particle filter method with model switching structure Reviewed

    N Ikoma, T Higuchi, H Maeda

    COMPSTAT 2002: PROCEEDINGS IN COMPUTATIONAL STATISTICS   431 - 436   2002

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  • Monte Carlo Strategies in Scientific Computing

    Higuchi Tomoyuki

    Bulletin of the Japan Society for Industrial and Applied Mathematics   12 ( 2 )   216 - 217   2002

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    DOI: 10.11540/bjsiam.12.2_216

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  • Computational methods for time series analysis Reviewed

    G Kitagawa, T Higuchi, S Sato

    COMPSTAT 2002: PROCEEDINGS IN COMPUTATIONAL STATISTICS   15 - 24   2002

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  • Application of multivariate Maxwellian mixture model to plasma velocity distribution Reviewed

    Ueno, Genta, Nagatomo Nakamura, Tomoyuki Higuchi, Takashi Tsuchiya, Shinobu Machida, Tohru Araki

    Progress in Discovery Science, (Lecture Notes in Computer Science)   2281   372 - 383   2002

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    DOI: 10.1007/3-540-45884-0_27

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  • Automatic detection of geomagnetic jerks by applying a statistical time series model to geomagnetic time series Reviewed

    Nagao, H, T. Higuchi, T. Iyemori, T. Araki

    Lecture Notes in Artificial Intelligence   2281   360 - 371   2002

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    DOI: 10.1007/3-540-45884-0_26

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  • Application of multivariate Maxwellian mixture model to plasma velocity distribution function Reviewed

    G Ueno, N Nakamura, T Higuchi, T Tsuchiya, S Machida, T Araki, Y Saito, T Mukai

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   106 ( A11 )   25655 - 25672   2001.11

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    DOI: 10.1029/2001JA900079

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  • Evolutionary Time Series Model With Parallel Computing

    Tomoyuki Higuchi

    The Third JAPAN-US Joint Seminar on Statistical Time Series Analysis   183 - 190   2001

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    In this study,we consider a time series model which combines the partial nonGaussian state space model and self-organizing state space model (SOSSM), where the SOSSM has been proposed to an extension of the generalized state space model. The competing different system/observation models for the state vector can be simultaneously dealt in this model as introducing a switching structure, and appropriate system/observation models among them is automatically determined as a function of time. As a result, we are free from a procedure of selecting models among competing models. Of course, this model allows us to consider an inclusion of two system/observation models which conflicts each other in some sense. Namely,we need not havewell-organized knowledge about modeling of the time series. We therefore call this model the evolutionary time series model. We regard the approach based on the evolutionary time series model as one of the machine learning approaches. The evolutionary time series model can be formulated within a framework of an extension of SOSSM whichtakes a convenient form from a computational point of view.

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  • Separation of photoelectrons via multivariate Maxwellian mixture model Reviewed

    Genta Ueno, Nagatomo Nakamura, Tomoyuki Higuchi

    The proceedings of The Forth International Conference on Discovery Science,   2226   470 - 475   2001

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    Publishing type:Research paper (international conference proceedings)  

    Abstract. Electron velocity distribution obtained by direct spacecraft observation in space is contaminated by photoelectrons. The photoelectrons are generated due to the solar ultraviolet ray, and are regarded as artificial noise from a viewpoint of scientific research. We propose a method for separating photoelectron component from ambient electron component. Our method uses multivariate normal mixture model, whose parameters are determined via the Expectation-Maximization (EM) algorithm. Initial parameters of the EM algorithm are computed through the classification of the velocity space by a spherical surface of some arbitrary radius. 1

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  • Automatic identification of large-scale field-aligned current structures Reviewed

    T Higuchi, S Ohtani

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   105 ( A11 )   25305 - 25315   2000.11

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    Language:English   Publishing type:Research paper (scientific journal)  

    Web of Science

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  • Four-sheet structures of dayside field-aligned currents: Statistical study Reviewed

    S Ohtani, T Higuchi

    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS   105 ( A11 )   25317 - 25324   2000.11

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    Web of Science

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  • Application of Multivariate Maxwellian Mixture Model to Plasma Velocity Distribution Function Reviewed

    Genta Ueno, Nagamoto Nakamura, Tomoyuki Higuchi, Takashi Tuschiya, Shinobu Machida, Tohru Araki

    Progresses in Discovery Sience, Final Report of the Japanese Discovery Science Project   1967   382 - 383   2000

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  • Automatic identification of large-scale field-aligned current structures and its application to night-side current systems Reviewed

    T Higuchi, S Ohtani

    MAGNETOSPHERIC CURRENT SYSTEMS   118   389 - 394   2000

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    Language:English   Publishing type:Research paper (international conference proceedings)  

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  • Disappearance of large-scale field-aligned,current systems: Implications for the solar wind-magnetosphere coupling Reviewed

    S Ohtani, T Higuchi

    MAGNETOSPHERIC CURRENT SYSTEMS   118   253 - 259   2000

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    Web of Science

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  • Detection of the structure of particle velocity distribution by finite mixture distribution model Reviewed

    G Ueno, S Machida, N Nakamura, T Higuchi, T Araki

    DISCOVERY SCIENCE, PROCEEDINGS   1721   366 - 368   1999

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/3-540-46846-3_51

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  • Smoothness prior approach to explore the mean structure in large time series data Reviewed

    G Kitagawa, T Higuchi, FN Kondo

    DISCOVERY SCIENCE, PROCEEDINGS   1721   230 - 241   1999

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    Web of Science

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  • Automatic transaction of signal via statistical modeling Reviewed

    G Kitagawa, T Higuchi

    DISCOVERY SCIENCE   1532   375 - 386   1998

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    Language:English   Publishing type:Research paper (scientific journal)  

    Web of Science

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  • A generalization of the minimum variance analysis method Reviewed

    H. Kawano, T. Higuchi

    Annales Geophysicae   14 ( 10 )   1019 - 1024   1996

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:European Geosciences Union  

    DOI: 10.1007/s00585-996-1019-1

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  • The bootstrap method in space physics: Error estimation for the minimum variance analysis Reviewed

    H. Kawano, T. Higuchi

    Geophysical Research Letters   22 ( 3 )   307 - 310   1995

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1029/94GL02969

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  • Automatic transaction of signal via statistical modeling

    Genshiro Kitagawa, Tomoyuki Higuchi

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   1532   375 - 386   1988

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Springer Verlag  

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  • Self-organizing time series model Reviewed

    Tomoyuki Higuchi

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    1.1 Generalized state space model The generalized state space model (GSSM) that we deal with in this study is de ned by a set of two equations system model xt = f(xt;1 � vt) � and (1.1)

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Books

  • 教養としてのデータサイエンス 改訂第2版

    北川, 源四郎, 竹村, 彰通, 内田, 誠一, 川崎, 能典, 孝忠, 大輔, 佐久間, 淳, 椎名, 洋, 中川, 裕志, 樋口, 知之, 丸山, 宏( Role: Contributor)

    講談社  2024.12  ( ISBN:9784065379394

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    Total pages:11,267p   Language:Japanese  

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  • 予測にいかす統計モデリングの基本 改訂第2版 ベイズ統計入門から応用まで (KS理工学専門書)

    樋口 知之( Role: Sole author)

    講談社  2022.7  ( ISBN:4065285704

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    Total pages:176   Language:Japanese  

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  • 教養としてのデータサイエンス

    北川, 源四郎, 竹村, 彰通, 内田, 誠一, 川崎, 能典, 孝忠, 大輔, 佐久間, 淳, 椎名, 洋, 中川, 裕志, 樋口, 知之, 丸山, 宏( Role: Contributor第1章 1.1-1.2)

    講談社  2021.6  ( ISBN:9784065238097

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    Total pages:viii, 229p   Responsible for pages:pp.2-40   Language:Japanese   Book type:Scholarly book

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  • ベイズモデリングの世界

    伊庭, 幸人, 久保, 拓弥, 丹後, 俊郎, 樋口, 知之, 持橋, 大地, 田辺, 国士( Role: Contributor全体モデルから局所モデルへ 状態空間モデルとシミュレーション)

    岩波書店  2018.1  ( ISBN:9784000247986

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    Total pages:vi, 180p   Responsible for pages:pp.55-68   Language:Japanese   Book type:Scholarly book

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  • ブランド評価手法: ―マーケティング視点によるアプローチ― (シリーズ“マーケティング・エンジニアリング”)

    守口 剛, 佐藤 忠彦, 里村 卓也, 樋口 知之, 鶴見 裕之, 佐藤 栄作( Role: Joint authorベイジリアン・モデリングによる動的ブランド診断)

    朝倉書店  2014.12  ( ISBN:4254295057

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    Total pages:170   Responsible for pages:pp.122-145   Language:Japanese  

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  • 現象数理学入門

    斎藤正也, 樋口知之, 三村 昌泰( Role: Contributor伝播の現象数理-インフルエンザ・パンデミック)

    東京大学出版会  2013.9  ( ISBN:4130629166

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    Total pages:203   Responsible for pages:pp145-168  

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  • ビッグデータ時代のマーケティング―ベイジアンモデリングの活用 (KS社会科学専門書)

    佐藤忠彦, 樋口知之

    講談社  2013.2  ( ISBN:9784061573024

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    Total pages:209  

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  • サービス工学の技術 : ビッグデータの活用と実践

    本村陽一, 竹中毅, 石垣司, 樋口知之( Role: Contributor第6章 データ同化によるシミュレーション計算と大規模データ解析の融合)

    東京電機大学出版局  2012.11  ( ISBN:9784501551001

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    Total pages:xii, 204p   Language:Japanese  

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  • パターン認識と機械学習 上 : ベイズ理論による統計的予測

    Bishop, Christopher M., 元田, 浩, 栗田, 多喜夫, 樋口, 知之, 松本, 裕治, 村田, 昇

    丸善出版  2012.1  ( ISBN:9784621061220

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    Total pages:xvii, 349p   Language:Japanese   Book type:Scholarly book

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  • パターン認識と機械学習 下: ベイズ理論による統計的予測

    Bishop, Christopher M., 元田, 浩, 栗田, 多喜夫, 樋口, 知之, 松本, 裕治, 村田, 昇

    丸善出版  2012.1  ( ISBN:9784621061244

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    Total pages:xiii, 433p   Language:Japanese   Book type:Scholarly book

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  • データ同化入門 (予測と発見の科学)

    樋口知之, 樋口知之( Role: Edit)

    朝倉書店  2011.9  ( ISBN:4254127863

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    Total pages:256  

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  • 予測にいかす統計モデリングの基本―ベイズ統計入門から応用まで (KS理工学専門書)

    樋口 知之

    講談社  2011.4  ( ISBN:4061557955

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    Total pages:158  

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  • 超多自由度系の新しい科学

    笹井 理生, 樋口知之( Role: Contributor第5章 何を計算するか)

    共立出版  2010.11  ( ISBN:9784320122758

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    Total pages:x, 323p, 図版 [2] p   Language:Japanese  

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  • 動的売上モデルによる小売価格戦略の評価−状態空間モデルの適用−、 シリーズ ビジネスの数理第7巻 マーケティング・経営戦略の数理

    佐藤 忠彦, 樋口 知之

    朝倉書店  2009 

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  • 統計数理は隠された未来をあらわにする―ベイジアンモデリングによる実世界イノベーション

    樋口 知之, 照井 伸彦, 井元 清哉, 北川 源四郎, 石井 信

    東京電機大学出版局  2007.6  ( ISBN:4501543302

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    Total pages:136  

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  • モデルヴァリデーション (データサイエンス・シリーズ)

    北川 源四郎, 樋口 知之, 川崎 能典, 岸野 洋久, 山下 智志

    共立出版  2005.3  ( ISBN:4320120043

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    Total pages:210  

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  • ゆらぎの科学と技術 : フラクチュオマティクス入門

    山本 光璋, 鷹野 致和, 樋口知之( Role: Contributor組織的な発見への期待と予感)

    東北大学出版会  2004.9  ( ISBN:4925085905

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    Total pages:vii, 262p   Language:Japanese  

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  • Self-organizing Time Series Model

    Tomoyuki HIGUCHI( Role: Joint authorSequential Monte Carlo Methods in Practice)

    Springer-Verlag New York  2001 

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    Responsible for pages:pp429-444   Language:English  

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  • The Practice of Time Series Analysis (Information Science and Statistics)

    H. Akaike, G. Kitagawa, T. Higuchi( Role: ContributorProcessing of Time Series Data Obtained by Satellites)

    Springer-Verlag New York  1999 

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  • 時系列解析の実際II

    赤池 弘次, 北川 源四郎, 樋口 知之( Role: Contributor人工衛星時系列データの処理)

    朝倉書店  1995.1  ( ISBN:9784254122473

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    Total pages:2冊   Language:Japanese  

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MISC

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Presentations

  • シミュレーションのAIとの邂逅と発展

    樋口知之

    2025年第3回イブニングセミナー「シミュレーションのAIとの邂逅と発展」  ( 東京都文京区 )   2025.4  中央大学 AI・データサイエンスセンター

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    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech   Country:Japan  

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  • 共変量の分布シフトが大きい状況下で有効な疑似ラベリングによ る 2 段階のドメイン不変表現学習法

    大島 悠, 石曽根 毅, 樋口 知之

    2024年電子情報通信学会ソサエティ大会  ( 日本工業大学 埼玉キャンパス(埼玉県) )   2024.9  一般社団法人 電子情報通信学会

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    Event date: 2024.9    

    Language:Japanese   Presentation type:Oral presentation (general)   Country:Japan  

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  • Generative AI is the essential academic bridge between statistics and AI Invited International conference

    Tomoyuki Higuchi

    2024 Advisory Board Meeting, Future research directions in the era of AI  ( Taipei )   2024.7  The Institute of Statistical Science, Academia Sinica

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    Event date: 2024.7    

    Language:English   Country:Taiwan, Province of China  

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  • 注意機構を用いた準周期信号のオンライン周期推定と異常値同定の同時実現 Invited

    石曽根毅, 樋口知之, 大草孝介, 中村和幸

    Prof. Toshinari Kamakura’s Retirement Commemoration Symposium  ( 宜野湾市、沖縄 )   2024.3 

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    Event date: 2024.3    

    Language:Japanese   Presentation type:Oral presentation (invited, special)   Country:Japan  

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  • 人流ビッグデータを内包する感染症モデルのデータ同化による新型コロナウイルス感染動態の解析

    荒井智史, 大野航太, 樋口知之

    日本応用数理学会 若手の会 第9回学生研究発表会  ( 長岡市 )   2024.3  日本応用数理学会

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    Event date: 2024.3    

    Language:Japanese   Presentation type:Poster presentation   Country:Japan  

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  • Domain Adaptation for Application to Smart Meters of Electricity Usage in Each Household Invited International conference

    Hisashi Oshima, Tomoyuki Higuchi, Tsuyoshi Ishizone

    Statistical Computing And Robust Inference For High Dimensional Data(SCRI2023)  ( Taipei, Taiwan )   2023.12 

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    Event date: 2023.12    

    Language:English   Presentation type:Oral presentation (invited, special)  

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  • 生成AIの登場により データサイエンスで学ぶことは 変わるのか? Invited

    樋口知之

    長崎大学 情報データ科学部 特別講演会  ( 長崎 )   2023.11  長崎大学情報データ科学部

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    Event date: 2023.11 -  

    Language:Japanese   Presentation type:Oral presentation (invited, special)   Country:Japan  

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  • ChatGPT: 連想ゲームつぶやきマシンだけどものすごい性能と 私たちはどうつきあうか? Invited

    樋口 知之

    日本経営工学会(JIMA)関東支部主催 2023年度 第1回講演会  ( 東京都文京区 )   2023.6  日本経営工学会(JIMA)関東支部

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    Event date: 2023.6 -  

    Country:Japan  

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  • AIとDXが促す組織構造と企業文化の変化 Invited

    樋口知之

    公開講座 未来展望セミナー2022(第七回)  ( 大阪 )   2023.1  大阪成蹊大学

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    Event date: 2023.1 -  

    Language:Japanese   Presentation type:Oral presentation (invited, special)   Country:Japan  

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  • Occupancy Detection for General Households by Bidirectional LSTM with Attention International conference

    Hisashi Oshima, Tsuyoshi Ishizone, Kazuyuki Nakamura, Tomoyuki Higuchi

    48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022)  ( Brussels )   2022.10 

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    Event date: 2022.10    

    Language:English   Presentation type:Oral presentation (general)   Country:Belgium  

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  • An Online System of Detecting Anomalies and Estimating Cycle Times for Production Lines International conference

    Tsuyoshi Ishizone, Tomoyuki Higuchi, Kosuke Okusa, Kazuyuki Nakamura

    48th Annual Conference of the IEEE Industrial Electronics Society Conference(IECON 2022)  ( Brussels )   2022.10 

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    Event date: 2022.10    

    Language:English   Presentation type:Oral presentation (general)   Country:Belgium  

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  • いよいよ動き出した地震ビッグデータ解析の中核をなす機械学習技術 Invited

    樋口 知之

    2022年度統計関連学会連合大会  ( 東京 オンライン ハイブリッド開催 )   2022.9  統計関連学会連合 応用統計学会 日本計算機統計学会 日本計量生物学会 日本行動計量学会 日本統計学会 日本分類学会

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    Event date: 2022.9    

    Language:Japanese   Presentation type:Oral presentation (invited, special)   Country:Japan  

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  • 帰納と演繹の融合: データ同化と深層学習 Invited

    樋口 知之

    応⽤統計学フロンティアセミナー  ( 東京 オンライン ハイブリッド開催 )   2022.1  応用統計学会

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    Event date: 2022.1 -  

    Language:Japanese   Presentation type:Oral presentation (general)   Country:Japan  

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  • データサイエンスとは何か?統計学、AIとの違いと共通点を理解することで深まる総合教育の理想像 Invited

    樋口知之

    宮崎大学数理・データサイエンス・AI教育強化事業 令和3年度シンポジウム「宮崎大学におけるデータサイエンス教育のこれまでとこれから」  ( オンライン )   2021.12  宮崎大学

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    Event date: 2021.12    

    Language:Japanese   Presentation type:Oral presentation (general)   Country:Japan  

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  • Ensemble Kalman Filter を活用した時系列モデルの変分推論フレームワーク

    石曽根 毅, 樋口 知之, 中村 和幸

    2021年度統計関連学会連合大会  ( 長崎 )   2021.9  統計関連学会連合 応用統計学会 日本計算機統計学会 日本計量生物学会 日本行動計量学会 日本統計学会 日本分類学会

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    Event date: 2021.9    

    Language:Japanese   Presentation type:Oral presentation (general)   Country:Japan  

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  • 隣接領域との競争と共創が促す統計学の力強い発展 Invited

    樋口 知之

    2021年度統計関連学会連合大会  ( オンライン )   2021.9  統計関連学会連合 応用統計学会 日本計算機統計学会 日本計量生物学会 日本行動計量学会 日本統計学会 日本分類学会

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    Event date: 2021.9    

    Language:Japanese   Country:Japan  

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  • 変分推論・非線形フィルタリングを駆使した時系列データの潜在モデルの推論・予測

    石曽 根毅, 樋口 知之, 中村 和幸

    情報処理学会 第83回全国大会  ( 大阪大学 豊中キャンパス=>オンライン開催 )   2021.3  一般社団法人情報処理学会

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    Event date: 2021.3    

    Language:Japanese   Presentation type:Oral presentation (general)   Country:Japan  

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  • 一般家庭用電力スマートメーターへの適用を目的とする世帯の在宅推定手法の開発

    大島 悠, 石曽根 毅, 樋口 知之

    第15回日本統計学会春季集会  ( オンライン )   2021.3  日本統計学会 統計数理研究所

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    Event date: 2021.3    

    Language:Japanese   Presentation type:Poster presentation  

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  • 機械学習の基礎 Invited

    樋口 知之

    機械学習×熱・流体工学の最先端  ( オンライン )   2021.3  日本機械学会

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    Event date: 2021.3    

    Language:Japanese   Presentation type:Oral presentation (invited, special)   Country:Japan  

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  • 知能革命 Invited

    樋口知之

    日経イベント&セミナー 大学の約束2020オンラインカンファレンス  ( 東京 オンライン )   2020.12  日本経済新聞社

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    Event date: 2020.12 -  

    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

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  • Latent Trajectory Estimation with Ensemble Kalman Filter and Neural Network

    石曽根 毅, 樋口 知之, 中村 和幸

    数学数理科学専攻若手研究者のための 研究交流会 異 分 野・異 業 種 2020  ( オンライン )   2020.10  日本数学会 日本応用数理学会

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    Event date: 2020.10 -  

    Language:Japanese   Presentation type:Poster presentation   Country:Japan  

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  • ビッグデータ環境下の統計学の姿 Invited

    樋口知之

    日本SASユーザー会フォーラム2020  ( オンライン )   2020.10  SASユーザー会世話人会

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    Event date: 2020.10    

    Language:Japanese   Presentation type:Oral presentation (keynote)   Country:Japan  

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  • 汽水型人材育成: 製造業におけるAI/DS人材育成の課題と加速 Invited

    樋口知之

    【統計数理研究所オープンハウス連携イベント】データサイエンスの現在と未来を解剖する!~企業向け産学連携シンポジウム~  ( 立川 オンライン )   2020.10  情報・システム研究機構 統計数理研究所

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    Event date: 2020.10 -  

    Language:Japanese   Presentation type:Oral presentation (keynote)   Country:Japan  

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  • AI・データサイエンス人材育成の産業界との協働 Invited

    樋口知之

    第11回横幹連合コンファレンス  ( 立川 オンライン )   2020.10  特定非営利活動法人横断型基幹科学技術研究団体連合

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  • 今後の社会とデータサイエンティスト養成:世界の動向と日本 Invited

    樋口知之

    2050技術・マネジメント知の育成研究会(TM研究会) 第 2 回研究交流会  ( 東京 )   2020.7  TM研究会

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  • データ駆動科学の発展とインパクト Invited

    樋口 知之

    TFC Online Seminar Series 1st Seminar 実験家のためのデータ駆動科学オンラインセミナー  2020.5  東北大学 研究推進・支援機構知の創出センター

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    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech   Country:Japan  

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  • DX化の鍵:データサイエンス・リテラシー Invited

    樋口 知之

    第1回DX特別経営セミナー デジタルトランスフォーメーションが創る未来と戦略 -産官学連携のKOBEモデルの構築-  ( 神戸市 )   2019.12  一般社団法人デジタルトランスフォーメーション研究機構、神戸大学数理・データサイエンスセンター

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  • ベイズモデリングと歩んだ30年 Invited

    樋口 知之

    統計数理研究所 樋口前所長退任記念シンポジウム 「データ駆動型研究を先導するベイズモデリング」 ~ モデリングは人がやるのか、AIが代替するのか ~  ( 東京都千代田区 )   2019.11  情報・システム研究機構 統計数理研究所

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  • データサイエンスが誘うメゾスコピックHPC Invited

    樋口 知之

    科学技術計算分科会 2019年度会合「HPC道 ~われわれの進むべき道は?~」  ( 神戸市 )   2019.10  サイエンティフィック・システム研究会

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  • AIとデータサイエンス:共通の軸と違いを知ることでわかる未来の扉 Invited

    樋口 知之

    数理・データサイエンス教育中部・東海ブロックワークショップ  ( 名古屋 )   2019.9  滋賀大学

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  • データ駆動型推論とシミュレーション計算の融合と将来像 Invited

    樋口 知之

    兵庫県立大学神戸情報科学キャンパスシンポジウム  ( 神戸市 )   2019.9  兵庫県立大学

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  • データサイエンスが育む新たな価値創造 Invited

    樋口 知之

    住友グループ一水会例会  ( 大阪市 )   2019.9  一水会

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  • データ駆動型研究開発のTIPSと組織内での人材育成策 Invited

    樋口 知之

    豊田自動織機-産総研連携研究室主催 アドバンスト・ロジスティクス講演会  ( 産総研臨海副都心センター 江東区 )   2019.8  豊田自動織機-産総研連携研究室

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  • 成熟期にはいったデータ同化計算技術 Invited

    樋口 知之

    日本シミュレーション学会総会  ( 文京区 )   2019.8  日本シミュレーション学会

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  • AI時代におけるモデリング研究の変容と次の一手 Invited

    樋口 知之

    計測自動制御学会オープンライフデータ委員会  ( 東京 )   2019.6 

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  • AIとデータサイエンスが誘う文理融合を超えた学術研究のミライ形 Invited

    樋口 知之

    中央大学理工学部「研究教育 クラスター」1周年記念シンポジウム  ( 東京 )   2019.3 

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  • 人工知能とデータサイエンティストの役回り Invited

    樋口 知之

    公開講座 新潟県立大学 国際産業経済セミナー 「データサイエンスとイノベーション」  ( 新潟 )   2019.3 

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  • AIと統計的モデリングのはざまで~次の世代に期待する事

    樋口 知之

    統合的都市インフラサービスのため の自律的な情報基盤のありかた~ポストAI・スマートシティを見据えて  ( 東京 )   2019.2 

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  • Statistical Machine Learning in the Era of Big Data snd AI Invited International conference

    Tomoyuki HIGUCHI

    Roundtable Discussion on "New Global Era of Digital Economies"~T20Japan Associated Event~  ( Jakarta, Indonesia )   2019.1  ERIA, IDE-JETRO

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  • Weather prediction Review International conference

    Tomoyuki HIGUCHI

    CREST International symposium on big data application  2019.1 

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  • 分野をつなぎ、イノベーションを生み出すデータサイエンスの力 Invited

    樋口 知之

    神戸大学 数理・データサイエンスセンター 1周年記念シンポジウム  ( 神戸市 )   2018.12  国立大学法人神戸大学数理・データサイエンスセンター

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  • 人工知能により激変する職業選択:今、安定な職でも5年後には消滅!? Invited

    樋口 知之

    宮崎県立大宮高等学校「大宮ハローワーク」  2018.9 

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  • 情報モデリングの輪廻転生 Invited

    樋口 知之

    京都大学情報学研究科創立20周年記念シンポジウム  ( 京都市 )   2018.9  京都大学大学院情報科学研究科

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  • 社内のデータサイエンティストやAI人材を育てる, 増やすTIPS Invited

    樋口 知之

    統計数理研究所創立75周年記念 産学連携シンポジウム 企業における デジタルトランスフォーメーションとデータサイエンティスト育成の最前 線,  ( 立川、東京 )   2018.6 

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  • Smart simulation and Smart experimental design Invited International conference

    Tomoyuki HIGUCHI

    NTNU-ISM Joint Workshop on Sustainability and Statistical Machine Learning  ( NTNU(Norway) )   2018.6 

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  • 深層学習による生成モデルの自動構築 Invited

    樋口 知之

    日本地球惑星科学2018年大会  ( 千葉県 幕張メッセ )   2018.5  公益社団法人日本地球惑星科学連合

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  • マシンのためのビッグデータ可視化技術:特徴ベクトルの自動選択とデータ解析法の野蛮化 Invited

    樋口 知之

    日本地球惑星科学2018年大会  ( 千葉県 幕張メッセ )   2018.5  公益社団法人日本地球惑星科学連合

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  • ビッグデータ、AI、IoT時代のオートメーションとその先 Invited

    樋口 知之

    アズビル・アカデミー講演会  ( 神奈川県藤沢市 )   2018.4  アズビル株式会社技術開発本部

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  • 深層学習はすべてを解決できるのか? Invited

    樋口 知之

    データサイエンティスト協会 セミナー2018 第1回  ( 東京 ユビキタス協創広場 CANVAS )   2018.4  一般社団法人データサイエンティスト協会

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  • 統計数理アプローチによる建設分野の技術革新の可能性 ~維持管理/防災・減災へのビッグデータ、AIの活用 Invited

    樋口 知之

    第22回土木鋼構造研究シンポジウム  2018.3 

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  • 超スマート社会に向けたデータサイエンス人材育成 Invited

    樋口 知之

    日経ユニバーシティ・コンソーシアム データサイエンスが拓く未来フォーラム2018  ( 大手町フィナンシャルシティ カンファレンスセンターホール )   2018.3 

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    ~スマートソサエティーを担う産学連携人材育成と経営視点からの最新ビジネスソリューション~

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  • ビッグデータ、AI時代に必要とされる統計的推論法の習得に必要な数学教育 Invited

    樋口 知之

    「教育数学」第3回シンポジウム  ( 京都大学数理解析研究所 )   2018.2  RIMS研究集会

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  • ものづくりにおける情報科学の基礎と応用 ~AI・IoT時代を見据えたデータ活用~ Invited

    樋口 知之

    住友ゴム工業株式会社タイヤテクニカルセンター講演会  ( 兵庫県神戸市 )   2018.2  住友ゴム工業株式会社タイヤテクニカルセンター

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  • Role of Statistical Mathematics in the Era of Big Data and AI Invited

    Tomoyuki HIGUCHI

    The 2nd JAIST-ISM symposium+KIST  2018.1 

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  • データ同化による携帯電話データを用いた大規模災害時の不規則な移動行動の予測

    須藤明人, 矢部貴大, 樫山武浩, 関本義秀, 樋口知之, 中野慎也, 齋藤正也

    第8回データ同化ワークショップ  2018.1 

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  • 生き残るのは誰だ!? ~統計数理からみる近未来~ Invited

    樋口 知之

    東京立川ロータリークラブ第2766回例会  2017.10 

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  • ニーズ駆動型イノベーションと気象ビジネス Invited

    樋口 知之

    日本気象協会 技術研究会  2017.10 

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  • 親のすすめる仕事は10年後には消滅!? Invited

    樋口知之

    宮崎県立大宮高等学校「大宮ハローワーク」  2017.9 

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  • データサイエンスが担うニーズ駆動型イノベーション Invited

    樋口知之

    山口大学データサイエンス講演会『人工知能とデータサイエンスによる新しい社会の創造』  2017.9 

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  • Smart Simulation with Sparse Modeling and Deep Learning International conference

    T. Higuchi

    MOU SIGNING CEREMONY & SEMINAR ISM^2  2017.9 

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  • 粒子フィルタと深層学習が拓くエミュレーション技術 Invited

    樋口知之

    第35回日本ロボット学会学術講演会(RSJ2017)  2017.9 

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  • シミュレーションをAIにつなぐ形 Invited

    樋口知之

    第64回理論応用力学講演会  2017.8 

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  • Smart simulation and smart experimental design Invited International conference

    T. Higuchi

    Conference of the International Federation of Classification Societies (IFCS-2017)  2017.8 

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  • データサイエンスを超えるヒント:内挿と外挿

    樋口知之

    岩波書店『岩波データサイエンスVol.6』刊行記念イベント  2017.7 

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  • 統計学と人工知能

    樋口知之

    島根大学医学部情報科学概論講義  2017.7 

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  • 人工知能の数理的基盤

    樋口知之

    平成29年度文部科学省関係機関職員研修生実地研修  2017.6 

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  • データサインエス:不確実な時代の羅針盤

    樋口知之

    滋賀大学データサイエンス教育ワークショップDS学部開設記念「高等教育におけるデータサイエンス教育の新たな展開」  2017.5 

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  • AIと外挿

    樋口知之

    さきがけ「計測技術と高度情報処理の融合によるインテリジェント計測・解析手法の開発と応用」第2回領域会議  2017.5 

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  • データサイエンスと巨大自然災害

    樋口知之

    第2回巨大自然災害の情報発信と人工知能フォーラム  2017.4 

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  • ビッグデータ時代に生きる力を育む情報デザイン学

    樋口知之

    工学院大学情報学部「情報学概論」  2017.4 

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  • 機械学習をより研究開発に活かすには Invited

    樋口知之

    コニカミノルタ講演会  2017.3 

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  • データサイエンス教育と臨床統計家育成コースへの期待

    樋口知之

    京都大学臨床統計家育成コースキックオフシンポジウム 医療系データサイエンス教育の新展開  2017.3 

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  • 異分野融合・新分野創成を担うデータサイエンティストの育成基盤

    樋口知之

    情報・システム研究機構シンポジウム「分野を超えたデータサイエンスの広がり」  2017.2 

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  • ISM's next challenge for big data and AI International conference

    T. Higuchi

    ISM-ZIB-IMI Joint Workshop on Optimization and Data-intensive High Performance Computing  2017.1 

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  • 機械学習をより実務に活用するためには Invited

    樋口知之

    MUFG勉強会  2016.12 

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  • ★これでいいのかデータサイエンス? Invited

    樋口知之

    SPC Open Reseach Forum 2016  2016.11  慶応義塾大学

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  • Particle filter for real-time human mobility prediction following unprecedented disaster International conference

    A. Sudo, T. Kashiyama, T. Yabe, H. Kanasugi, X. Song, T. Higuchi, S. Nakano, M. Saito, Y. Sekimoto

    24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016)  2016.11 

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  • 背景・状態空間モデルとカルマンフィルタ

    樋口知之

    平成28年度統計数理研究所公開講座「粒子フィルタとその応用」  2016.9 

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  • 実世界データの機械学習 Invited

    樋口知之

    センサエキスポジャパン2016-SICE計測部門・システムインテグレーション部門共催セミナー  2016.9 

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  • 社会で求められるデータサイエンス Invited

    樋口知之

    滋賀大学データサインエスシンポジウム  2016.9 

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  • 人工知能とビッグデータ 文系の仕事は無くなる!? Invited

    樋口知之

    宮崎大宮高校ハローワーク  2016.9 

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  • データ同化入門 Invited

    樋口知之

    iTHESデータ同化スクール  2016.9 

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  • 眼光紙背:ベイズ統計モデリングと人工知能 Invited

    樋口知之

    東京大学地震研究所金曜セミナー  2016.9 

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  • リアルタイムな広域人流推定のための高速で高精度な粒子フィルタの提案

    須藤明人, 樫山武浩, 矢部貴大, 樋口知之, 中野慎也, 斎藤正也, 関本義秀

    第36回交通工学研究発表会  2016.8 

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  • 社会で求められるデータサイエンス Invited

    樋口知之

    滋賀大学データサインエスシンポジウム  2016.7 

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  • モノづくりのスマート化の基盤と駆動力:ビッグデータと機械学習 Invited

    樋口知之

    JOEM Workshop'16「ビッグデータ・人工知能時代の機能性材料開発とは?」  2016.7 

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  • 非線形埋込み型特徴量選択のための単結合ニューラルネットワークの提案

    須藤明人, 樋口知之, 中野慎也, 斎藤正也, 矢部貴大, 関本義秀

    第25回情報論的学習理論と機械学習研究会  2016.7 

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  • メゾスコピック・モデリングに必要な技巧と教練 Invited

    樋口知之

    CREST「生命動態の理解と制御のための基盤技術の創出」第6回デザイン道場  2016.6 

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  • ビッグデータ、人工知能、そしてセレンディピティ Invited

    樋口知之

    第81回形の科学シンポジウム「量子科学とかたち」  2016.6 

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  • 予測とモデリング

    樋口知之

    島根大学医学部情報科学概論講義  2016.5 

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  • シミュレーションとデータ解析の融合計算の基礎

    樋口知之

    第1回MI^2I チュートリアルセミナー  2016.3 

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  • ビッグデータ、CPS、IoTを貫くもの Invited

    樋口知之

    SIP常設型モニタリング会議  2016.3 

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  • 今後の展望

    樋口知之

    文部科学省委託事業「データサイエンティスト育成ネットワークの形成」最終年度報告シンポジウム  2016.3 

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  • 日本におけるビッグデータ時代の人材ビッグバン計画 Invited

    樋口知之

    第10回日本統計学会春季集会  ( 東北大学 )   2016.3 

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  • 物理モデルと実験モデルの統合 Invited

    樋口知之

    第34回自動車制御とモデル研究専門委員会  2016.2 

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  • 簡便エミュレーションによる実験計画のスマート化 Invited

    樋口知之

    数学協働プログラムワークショップ-MI^2 (情報統合型物質・材料開発) と数学連携による新展開-  2016.2 

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  • 大規模観測科学と「知」のPDCAサイクル創り Invited

    樋口知之

    海洋研究開発機構 CEISTセミナー  2016.2 

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  • ICE-Xによるice coreの年代推定

    中野慎也, 鈴木香寿恵, 川村賢二, F. Parrenin, 樋口知之

    JAIST-ISMシンポジウム「データ同化・シミュレーション・乱数とHPCの新展開」  2016.1 

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  • データ駆動型イノベーションの神髄 Invited

    樋口知之

    第9回The KAITEKI講演会  2015.12 

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  • Data Assimilation: Challenge for Big Data through Numerical Simulation Invited International conference

    T. Higuchi

    2015 Taiwan-Japan Joint Workshop on Inverse Problems  2015.11 

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  • 人工知能とデータサイエンティストの役回り Invited

    樋口知之

    数理システムユーザーコンファレンス2015  2015.11 

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  • 逆解析数理とシミュレーションの融合による「ものづくり」の高度化 Invited

    樋口知之

    武蔵野大学数理工学シンポジウム2015  2015.11 

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  • 統計科学とビッグデータの利活用 Invited

    樋口知之

    国東市偉人顕彰プロジェクト・武蔵フォーラム  ( 大分県国東市 )   2015.11  武蔵中央公民館

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  • データ同化によるものづくり・サービスの革新 Invited

    樋口知之

    オムロン株式会社技術講演会  2015.11 

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  • ビッグデータを生かすデータサイエンス

    樋口知之

    リコー中央研究所講演会  2015.10 

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  • ビッグデータ時代に生きる力を育む情報デザイン学

    樋口知之

    工学院大学情報学部講義  2015.10 

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  • ビッグデータと人工知能

    樋口知之

    茨城大学理学部「情報数理特論III」講義  2015.10 

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  • 人工知能とビッグデータ 文系の仕事は無くなる!? Invited

    樋口知之

    宮崎大宮高校ハローワーク  2015.9 

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  • Road condition classification using a new global alignment Kernel International conference

    T. Goto, Y. Hanatsuka, T. Higuchi, T. Matsui

    IEEE International Workshop on Machine Learning for Signal Processing (MLSP)2015  ( Boston, USA )   2015.9 

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  • 南極氷床に適応した降雪量推定モデルの開発その2 -2009年の事例解析-

    鈴木香寿恵, 本山秀明, 山内恭, 平沢尚彦, 榎本浩之, 田村岳史, 飯塚芳徳, 的場澄人, 樋口知之

    雪氷研究大会  2015.9 

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  • 時系列モデルを用いた家庭の電力需要予測

    高橋久尚, 樋口知之, 今井純志, 志賀孝広

    2015年度統計関連学会連合大会  ( 岡山 )   2015.9 

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  • Simulation, Data Assimilation and Emulation Invited International conference

    T. Higuchi

    Asia Oceania Geosciences Society 2015 (AOGS)  ( Singapore )   2015.8 

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  • ビッグデータを取り巻く課題と公共インフラ構築・社会サービスのイノベーション Invited

    樋口知之

    中国地域ICT利活用研究会  ( 広島 )   2015.7  中国経済連合会

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  • 簡便エミュレーションによる実験計画の高速化 Invited

    樋口知之

    第1回設計に活かすデータ同化研究会  ( 立川市 )   2015.7  日本機械学会計算力学部門

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  • シミュレーションとエミュレーション:データ同化を超えて

    樋口知之

    ものづくり企業に役立つ応用数理手法の研究会 第6回技術セミナー  2015.6 

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  • Interaction, Integration, and Design: Key elements for success on promoting the interdisciplinary research Invited

    樋口知之

    iTHES理論科学セミナー  2015.6 

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  • システム科学技術に期待するもの Invited

    樋口知之

    第10回システム科学技術推進会議  2015.5 

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  • 予測とモデリング

    樋口知之

    島根大学医学部情報科学概論講義  2015.5 

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  • Estimation of the age-depth relationship of Dome Fuji Ice Core using a sequential Bayesian approach

    中野慎也, 鈴木香寿恵, 川村賢二, F. Parrenin, 樋口知之

    日本地球惑星科学連合2015年大会  2015.5 

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  • エミュレーション技術によるパーソナライゼーションの実現

    樋口 知之

    応用統計学フロンティアセミナー-社会科学型ビッグデータにおける応用統計学の活躍の場拡大を目指して-  2015.5 

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  • Big Data and Personalization Technology:Augmentation and Reduction Invited International conference

    Higuchi T

    Department of Mathematic, Hong Kong Baptist University  ( Hong Kong )   2015.4 

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  • Data Assimilation: Challenge for Big Data through Numerical Simulation Invited International conference

    Higuchi T

    Department of Mathematic, Hong Kong Baptist University  ( Hong Kong )   2015.4 

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  • A method for estimating the age-depth relationship of Dome Fuji Ice Core ushing a sequential Monte Carlo method International conference

    S. Nakano, K.Suzuki, K. Kawamura, F. Parrenin, T. Higuchi

    European Geosciences Union General Assembly 2015 (EGU)  ( Viena )   2015.4 

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  • 分野の壁を突き崩すビッグデータ

    樋口 知之

    平成27年度総合研究大学院大学フレッシュマン・コース“知のフロンティア”  2015.4 

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  • エミュレータ・デザインの基礎数理1:データ同化とスパース回帰

    樋口 知之

    電子情報通信学会東京支部シンポジウム「実験計画、データ同化、そしてエミュレータ・デザインへ」  2015.3 

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  • 磁力線固有振動数とTECの統合インバージョンによる磁気圏密度分布推定-経過報告-

    河野 英昭, 上野 玄太, 才田 聡子, 中野 慎也, 樋口 知之

    共同研究集会「電離圏・磁気圏モデリングとデータ同化」  ( 立川市 日本 )   2015.1 

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  • 低軌道デブリの突発的軌道減衰現象の全球構造を推定するための状態空間モデルの検討

    上津原正彦, 中野慎也, 樋口 知之

    共同研究集会「電離圏・磁気圏モデリングとデータ同化」  ( 立川 日本 )   2015.1 

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  • プラズマ圏の密度緯度分布パラメータの最尤法による推定

    中野慎也, Fok, Mei-Ching, Brandt, Pontus C, 樋口知之

    共同研究集会「電離圏・磁気圏モデリングとデータ同化」  ( 立川市 日本 )   2015.1 

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  • 機能のモデル化と真理の探求のバランス感覚

    樋口 知之

    「新学術領域研究」スパースモデリングの深化と高次元データ駆動科学の創生  ( 横浜市 日本 )   2014.12 

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  • ビッグデータ時代にマネジメントはどう向き合うべきか

    樋口 知之

    モノづくりにおける問題解決のためのデータサイエンス講演会  ( 東京都 日本 )   2014.12 

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  • わが国におけるデータ分析人材の育成と活用

    丸山宏, 神谷直樹, 樋口知之, 竹村彰通

    第5回横幹連合総合シンポジウム  ( 東京都 日本 )   2014.11 

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  • ビッグデータ奔流が破壊する理系・文系の壁

    樋口 知之

    2014年度(秋学期)文化情報学研究科シンポジウム  ( 京田辺市 日本 )   2014.11 

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  • 賢く増やすと減らすはビッグデータ解析の基本

    樋口 知之

    データサイエンティスト協会 1stシンポジウム~実務者が集うデータサイエンスの最前線~  ( 東京都 日本 )   2014.11 

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  • Stream computing and emulation in a world of the edge heavy data International conference

    T. Higuchi

    International Conference for Mathematics, Statistics and Financial Mathematics (ICMSFM2014)  2014.11 

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  • Simulation, Data assimilation, and Emulation International conference

    T. Higuchi

    Big Data Research Mission to UK  2014.11 

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  • Big data and personalization technology: Imputation, Linkage, and Stream computing Invited International conference

    Higuchi T

    International Conference on Statistical Analysis of Large Scale High Dimensional Socio-Economics Data  ( Sendai, Japan )   2014.11 

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  • Estimating the latitudinal dependence of plasmaspheric helium ion density based on data assimilation of the IMAGE/EUV data

    2014.10 

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  • Merging particle smootherによる南極氷床コアの年代推定

    中野慎也, 鈴木香寿恵, 樋口知之, 川村賢二

    パーティクルフィルタ研究会「データ同化と粒子フィルタの接点」  ( 東京都 日本 )   2014.10 

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  • GPS時系列データに基づく断層すべりの時空間変化の推定

    福田淳一, 樋口知之, 宮崎真一

    パーティクルフィルタ研究会「データ同化と粒子フィルタの接点」  ( 東京都 日本 )   2014.10 

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  • 連結SIRモデルのパラメータ推定

    齋藤正也, 樋口知之, 井元清哉, 山口類, 宮野悟

    パーティクルフィルタ研究会「データ同化と粒子フィルタの接点」  ( 東京都 日本 )   2014.10 

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  • ビッグデータがせまる社会の本格的な知能化 Invited

    樋口 知之

    地球環境カレッジ第131回定例講演会  ( 東京都 日本 )   2014.10 

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  • 連結SIRモデルを使った日本のインフルエンザ流行における地域間相互作用の推定

    齋藤 正也, 井元 清哉, 山口 類, 宮野 悟, 樋口 知之

    第63回理論応用力学講演会  ( 東京都 日本 )   2014.9 

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  • データ同化技術を用いた投薬・治療の未来像 Invited

    樋口 知之

    第18回関東ハートセミナー  ( 東京都 日本 )   2014.9 

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  • 「個客」マーケティングのためのベイジアンモデリング入門 Invited

    樋口 知之, 佐藤 忠彦

    ビッグデータカンファレンス 2014 Autumn  ( 東京都 日本 )   2014.9 

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  • Evaluation of the Reliability and Validity of Magnetosphere-ionosphere Coupling Process in the Global Mhd Simulation Based on the Ionospheric Plasma Drift Obtained from SuperDARN Measurements

    Saita S, Fujita S, Kadokura A, Tanaka T, Yukimatsu A, Tanaka Y, Ohtani S, Murata T, Higuchi T

    AOGS2014  2014.7 

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  • Temporal evolution of helium lon density distribution estimated by assimilation of IMAGE/EUV data into a plasmasphere model International conference

    Nakano S, Fok, M-C, Bra, t, P. C, Higuchi T

    AOGS2014  2014.7 

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  • Evaluation of the reliability and validity of Magnetosphere-Ionosphere coupling process in the global MHD Simulation for the Earth's Magnetosphere International conference

    Saita S, Fujita S, Kadokura A, Tanaka T, Yukimatsu A, Tanaka Y, Ohtani S, Murata T, Higuchi T

    2014 Chinese Institute of Probability and Statistics Annual Meeting  ( Taiwan )   2014.6 

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  • データ同化によるエミュレータ・デザイン学の創設 Invited

    樋口 知之

    バイオスーパーコンピューティング東北2014  ( 仙台市 日本 )   2014.6 

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  • 木を見て森も見るビッグデータ解析技術 Invited

    樋口 知之

    第68回技研公開2014  ( 東京 日本 )   2014.5 

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  • 人への投資を触媒とするビッグデータからの価値創出 Invited

    樋口 知之

    サイエンティフィック・システム研究会第36回通常総会  ( 東京 日本 )   2014.5 

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  • プラズマ対流速度の磁気圏電離圏結合シミュレーションから得られる計算値とSuperDARNHFレーダーデータから得られる観測値の比較

    才田 聡子, 藤田 茂, 門倉 昭, 田中 高史, 行松 彰, 田中 良昌, 大谷 晋一, 村田 健史, 樋口 知之

    日本地球惑星科学連合2014年大会  ( 横浜市 日本 )   2014.4 

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  • Inversion method for estimating the helium ion density distribution in the plasmasphere based on IMAGE/EUV data

    中野 慎也, Fok M-C, Bra, dt P. C, 樋口 知之

    日本地球惑星科学連合2014年大会  ( 横浜市 日本 )   2014.4 

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  • 同床異夢のビッグデータ Invited

    樋口 知之

    日経ビッグデータ創刊記念フォーラム  ( 東京 日本 )   2014.4 

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  • 次世代磁気圏−電離圏結合系シミュレーションとIUGONET開発ツール(UDAS)との連携による電離圏プラズマ対流速度の計算値と観測値の比較

    才田 聡子, 藤田 茂, 門倉 昭, 田中 高史, 行松 彰, 田中 良昌, 大谷 晋一, 村田 健史, 樋口 知之

    平成25年度名古屋大学太陽地球環境研究所 研究集会 「太陽地球環境メタデータ・データベースによる時空間変動の学際研究」  ( 名古屋 日本 )   2014.3 

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  • Sequential data assimilation and stream computing for big data Invited International conference

    Higuchi T

    UK-Japan Big Data Research Workshop&Seminar  2014.2  Tokyo, Japan

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  • 「データサイエンティスト育成ネットワークの形成」事業の概要

    丸山 宏, 樋口 知之, 竹村 彰通

    第5回横幹連合コンファレンス  ( 高松市 日本 )   2013.12 

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  • ビジネスにおけるビッグデータと統計学〜受益者起点と予測モデル〜 Invited

    樋口 知之

    日経産業新聞フォーラム2013「今、注目されるデータサイエンスを経営に活かす〜ビッグデータ時代のデータオリエンテッドな企業経営〜」  ( 東京 日本 )   2013.12 

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  • データ同化によるエミュレータ・デザイン

    樋口 知之

    第18回先端的データベースとWeb技術動向講演会  ( 東京 日本 )   2013.12 

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  • ビッグデータがせまる人への投資とサービスの高度化 Invited

    樋口 知之

    ビッグデータ&オープンデータ研究会 in 九州  ( 福岡 日本 )   2013.12 

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  • ビッグデータ時代にマネジメントはどう向き合うべきか Invited

    樋口 知之

    クオリティフォーラム2013  ( 東京 日本 )   2013.11 

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  • ビッグデータが促す統計学の大飛躍 Invited

    樋口 知之

    日本計算機統計学会第27回シンポジウム  ( 熊本市 日本 )   2013.11 

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  • 逆推論とデータサイエンティスト

    樋口 知之

    京都大学国際高等教育院  ( 京都市 日本 )   2013.11 

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  • 不確実な情報下における予測戦略

    樋口 知之

    第72回日本公衆衛生学会総会  ( 三重 日本 )   2013.10 

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  • ビッグデータビジネスの現状と今後の展望-双方向性、受益者起点、そして制御可能性- Invited

    樋口 知之

    産業研究会講演会  ( 東京 日本 )   2013.10 

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  • Panel Disccusion "Key Issues in Big Data" International conference

    T. Higuchi

    IEEE International Conference on Big Data 2013  ( Santa Clara U.S.A. )   2013.10 

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  • システムののスマート化を支える数理基盤技術 Invited

    樋口 知之

    計測自動制御学会スマートセンシングシステム部会 SICE計測部門セミナー  ( 東京 日本 )   2013.9 

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  • ビッグデータと統計学をつなぐもの Invited

    樋口 知之

    第11回地球シミュレータシンポジウム−さらなる社会・未来・安心への貢献を目指して−  ( 東京都 日本 )   2013.9 

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  • 2009年の日本におけるインフルエンザ動向における地域間相互作用の影響

    齋藤 正也, 井元 清哉, 山口 類, 坪倉 正治, 上 昌広, 中田 はる佳, 佐藤 弘樹, 宮野 悟, 樋口 知之

    2013年度統計関連学会連合大会  ( 大阪市 日本 )   2013.9 

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  • 地震音波データ同化システムの開発

    長尾 大道, 樋口 知之

    2013年度統計関連学会連合大会  ( 大阪市 日本 )   2013.9 

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  • ビッグデータを活用したビジネス戦略:何が技術者に足りないのか? Invited

    樋口 知之

    第2回日立辺仁会フォーラム  ( 京都市 日本 )   2013.8 

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  • 公共サービスにおけるビッグデータの利活用の問題点と心構え

    樋口 知之

    海上保安庁交通部企画課  ( 東京都 日本 )   2013.7 

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  • Estimation of abrupt changes in sentinel observation data of influenza epidemics in Japan International conference

    Saito M, Imoto S, Yamaguchi R, Miyano S, Higuchi T

    16th International Conference on Information FUSION  ( Istanbul Turkey )   2013.7 

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  • Data assimilation system for seismoacoustic waves International conference

    Nagao H, Higuchi T

    16th International Conference on Information FUSION  ( Istanbul Turkey )   2013.7 

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  • ビッグデータ時代にマネジメントはどう向き合うべきか Invited

    樋口 知之

    アナリティクス・カンファレンス2013  ( 東京 日本 )   2013.6 

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  • グローバルMHDシミュレーションモデルの磁気圏?電離圏結合領域におけるパラメータ感受性

    才田 聡子, 門倉 昭, 藤田 茂, 樋口 知之

    日本地球惑星科学連合2013年大会  ( 千葉 日本 )   2013.5 

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  • IMAGE/EUVデータの同化によって推定したプラズマ圏イオン分布

    中野 慎也, Fok, M-C, Br, P. C, 樋口 知之

    日本地球惑星科学連合2013年大会  ( 千葉 日本 )   2013.5 

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  • クラウドコンピューティングシステムを利用した地球物理データの多変量時系列解析

    長尾 大道, 樋口 知之

    日本地球惑星科学連合2013年大会  ( 千葉 日本 )   2013.5 

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  • ビッグデータが開く新しい科学像 Invited

    樋口 知之

    日本地球惑星科学連合2013年大会  ( 千葉 日本 )   2013.5 

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  • ビッグデータで改めて浮き彫りとなった日本のシステム科学の課題

    樋口 知之

    横断型基幹科学技術研究団体連合2013年度定時総会  ( 東京 日本 )   2013.4 

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  • データを駆使する企業に生まれ変わるには Invited

    樋口 知之

    Bigdata Innovation Comference  ( 東京都 日本 )   2013.4 

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  • データ同化を用いた線虫C. elegans における細胞質流動を引き起こす細胞内力分布の推定

    庭山 律哉, 長尾 大道, 樋口 知之, 木村 暁

    第62 回理論応用力学講演会(NCTAM2013)  ( 東京 日本 )   2013.3 

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  • マルコフ連鎖モンテカルロ法を利用したトレーサー試験からフラク チャーの物理パラメータを推定する方法

    長尾 大道, 佐藤 光三, 樋口 知之

    第62 回理論応用力学講演会(NCTAM2013)  ( 東京 日本 )   2013.3 

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  • 地球磁気圏MHD シミュレーションモデルのモデルパラメータ最適値推定

    才田 聡子, 門倉 昭, 藤田 茂, 田中 高史, 大谷 晋一, 樋口 知之

    第62 回理論応用力学講演会(NCTAM2013)  ( 東京都 日本 )   2013.3 

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  • グローバルMHDシミュレーションで再現される電離圏電位分布のモデルパラメータ依存性について

    才田 聡子, 門倉 昭, 藤田 茂, 田中 高史, 行松 彰, 大谷 晋一, 村田 健史, 樋口 知之

    名古屋大学太陽地球環境研究所・研究集会「地域ネットワークによる宇宙天気の観測・教育活動に関する研究集会」  ( 福岡市 日本 )   2013.3 

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  • データ同化によるモデルの高度化〜物質材料研究への応用〜 Invited

    樋口 知之

    「データを活用した機能に基づく新物質・材料の設計(マテリアルインフォマティクス)」分科会  ( 東京都 日本 )   2013.2 

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  • ビッグデータが拓く新しい情報通信の世界(〜サイバーとリアルの間を取り持つデータ同化技術を中心として〜)

    樋口 知之

    電子情報通信学会 東京支部講演会「ビッグデータが拓く新しい情報通信の世界」  ( 東京都 日本 )   2012.12 

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  • Development of the roadsurface condition classification system International conference

    Hanatsuka Y, Higuchi T, Matsui T

    2012 IET International Conference on Information Science and Control Engineering (ICISCE)  ( Shenzhen China )   2012.12 

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  • Time-Series Modeling of Tide Gauge Records for Monitoring of the Crustal Activities Related to Oceanic Trench Earthquakes around Japan International conference

    Nagao H, Higuchi T, Miura S, Inazu D

    AGU Fall Meeting 2012  ( San Francisco U.S.A. )   2012.12 

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  • Towards efficient improvement of transcriptional circuit models by Life Science Data Assimilation System (LiSDAS) Invited International conference

    4th Biosupercomputing Symposium  2012.12 

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  • Prediction, Design, and Data assimilation Invited International conference

    Higuchi T

    2012 International Conference on Modeling, Analysis and Simulation (ICMAS)  ( Tokyo Japan )   2012.11 

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  • 予測と計測デザインを高度化するデータ同化 Invited

    樋口 知之

    第21回 Future of Radiology  ( 東京都 日本 )   2012.11 

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  • グローバルMHDシミュレーションを用いたオーロラの形状と動きの南北両半球非対称性の研究

    才田 聡子, 門倉 昭, 佐藤 夏雄, 藤田 茂, 田中 高史, 海老原 祐輔, Ohtani Shinichi, 村田 健史, 樋口 知之

    第132回 地球電磁気・地球惑星圏学会  ( 札幌市 日本 )   2012.10 

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  • Two-dimensional structure of the plasmasphere estimated by the ensemble transform Kalman filter

    2012.10 

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  • Coseismic atmospheric and ionospheric variations detected at the Sugadaira Space Radio Observatory

    2012.10 

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  • 出口指向のビッグデータ研究開発 Invited

    樋口 知之

    ビッグデータと統計学研究集会第1回研究集会  ( 札幌市 日本 )   2012.10 

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  • Data Assimilation: Challenge for Big Data through Numerical Simulation Invited International conference

    Higuchi T

    Ninth International Conference on Flow Dynamics (ICFD2012)  ( Sendai, Japan )   2012.9 

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  • インフルエンザ介入制作における集団免疫を高めるワクチン接種対象群の選択

    齋藤 正也, 井元 清哉, 山口 類, 坪倉 正治, 上 昌広, 中田 はる佳, 佐藤 弘樹, 宮野 悟, 樋口 知之

    統計関連学会連合大会  ( 札幌市 日本 )   2012.9 

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  • クラウドコンピューティングを利用したデータ同化システムの開発(II)

    長尾 大道, 本橋 永至, 樋口 知之

    統計関連学会連合大会  ( 札幌市 日本 )   2012.9 

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  • 潮位解析による過去のプレート境界型地震に伴う地殻変動の検出

    長尾 大道, 樋口 知之, 三浦 哲, 稲津 大祐

    統計関連学会連合大会  ( 札幌市 日本 )   2012.9 

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  • 時系列モデルを用いたインターネット広告の効果予測

    本橋 永至, 磯崎 直樹, 長尾 大道, 樋口 知之

    統計関連学会連合大会  ( 札幌市 日本 )   2012.9 

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  • Spatial and temporal variability of snow accumulation rate and air transports at East Antarctic ice sheet in 1993-2010 International conference

    Suzuki K, Motoyama H, Yamanouchi T, Kawamura K

    XXXII SCAR  ( Portland U.S.A. )   2012.7 

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  • Weight adjustment of the particle filter on distributed computing systems International conference

    Nakano S, Higuchi T

    15th International Conference on Information Fusion  ( Singapore )   2012.7 

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  • Data assimilation of the earth's atmospheric and ionospheric oscillations excited by large earthquakes International conference

    Nagao H, Higuchi T

    15th International Conference on Information Fusion  ( Singapore )   2012.7 

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  • Identifiability of local transmissibility parameters in agent-based pandemic simulation International conference

    Saito M, Imoto S, Yamaguchi R, Miyano S, Higuchi T

    15th International Conference on Information Fusion  ( Singapore )   2012.7 

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  • Data assimilation and sequential Bayes filters: Information fusion with numerical simulation Invited International conference

    Higuchi T

    ISBA2012  ( Kyoto, Japan )   2012.6 

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  • ビッグデータが照らす新しい研究道

    樋口 知之

    統計数理研究所オープンハウス  ( 立川市 日本 )   2012.6 

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  • 高速な生命体データ同化システムの開発とパスウェイ・モデル探索への応用

    齋藤 正也, 吉田 亮, 長尾 大道, 中野 慎也, 樋口 知之

    京コンピュータ・シンポジウム2012  ( 神戸市 日本 )   2012.6 

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  • アンサンブルベース逐次データ同化とHPC

    樋口 知之

    CPSセミナー  ( 神戸市 日本 )   2012.6 

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  • Estimation of the spatial structure of the plasmasphere using a data assimilation technique

    Nakano S, Fok M-C, Bra, dt P. C, Higuchi T

    日本地球惑星科学連合2012年大会  ( 千葉市 日本 )   2012.5 

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  • 地上磁場観測とGPS TEC観測からのプラズマ圏密度推定に向けて

    河野 英昭, 才田 聡子, 上野 玄太, 樋口 知之, 中野 慎也, 湯元 清文

    日本地球惑星科学連合2012年大会  ( 千葉市 日本 )   2012.5 

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  • ドームふじアイスコアの年代補正モデルによる年代軸決定の試み

    鈴木 香寿恵, 川村 賢二, Frederic P, 阿部 彩子, 齋藤 冬樹, 藤田 秀二, 樋口 知之

    日本地球惑星科学連合2012年大会  ( 千葉市 日本 )   2012.5 

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  • 夜側中緯度静穏時地磁気H成分の長期変動

    中野 慎也, 長尾 大道, 樋口 知之

    日本地球惑星科学連合2012年大会  ( 千葉市 日本 )   2012.5 

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  • 地殻活動起源の大気変動をモニタリングするための微気圧連続観測

    長尾 大道, 冨澤 一郎, 家森 俊彦, 金尾 政紀, 徳永 旭将, 樋口 知之

    日本地球惑星科学連合2012年大会  ( 千葉市 日本 )   2012.5 

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  • 大地震によって励起される大気変動および電離層変動のモデリング

    長尾 大道, 小林 直樹, 深尾 良夫, 冨澤 一郎, 樋口 知之

    日本地球惑星科学連合2012年大会  ( 千葉市 日本 )   2012.5 

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  • ビッグデータが迫る研究開発の変革 Invited

    樋口 知之

    経済産業研究所BBLセミナー  ( 東京都 日本 )   2012.5 

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  • Fault parameter estimation from coseismic infrasound variation excited by a large earthquake International conference

    ( Vienne Austria )   2012.4 

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  • Applicability of the particle filter for high-dimensional problems using a massively parallel computer International conference

    Nakano S, Higuchi T

    ( Vienne Austria )   2012.4 

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  • Modeling of atmospheric and ionospheric disturbances excited by a large earthquake - In the case of the 2008 Iwate-Miyagi Nairiku earthquake - International conference

    Nagao H, Kobayashi N, Fukao Y, Tomizawa I, Higuchi T

    ( Vienne Austria )   2012.4 

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  • Estimation of the long-term component of the variation in geomagnetic data International conference

    Nakano S, Higuchi T

    ( Vienne Austria )   2012.4 

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  • Generating Artistic Character Facial Animation Based on Motion Capture Data International conference

    Hirose K, Higuchi T

    The 2012 International Workshop on Advanced Image Technology  ( Ho Chi Minh Vietnam )   2012.1 

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  • LiSDAS:データ同化計算技術に基づく生体情報シミュレーション

    樋口 知之

    ISLiM成果報告会2011  ( 東京都 日本 )   2011.12 

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  • データ同化を利用した乱流の適応型シミュレーション

    加藤 博司, 大林 茂, 橋本 敦, 吉澤 徴, 上野 玄太, 樋口 知之

    第25回数値流体力学シンポジウム  ( 吹田市 日本 )   2011.12 

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  • データ同化とスーパーコンピュータ「京」−個別化医療サービスの実現に向けた計算技術の開発ー

    樋口 知之

    科学研究費によるシンポジューム「生物統計における統計的推測とその応用」  ( 宮崎市 日本 )   2011.12 

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  • An approach for exploring the dynamics of the plasmasphere using data assimilation of IMAGE/EUV data International conference

    Nakano S, Fok M-C, Bra, dt P. C, Higuchi T

    AGU Fall Meeting 2011  ( San Francisco U.S.A. )   2011.12 

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  • 市場反応の構造的変化を仮定したブランド選択行動の解析

    本橋 永至, 樋口 知之

    第90回日本マーケティング・サイエンス学会  ( 東京 日本 )   2011.12 

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  • Modeling of the plasmasphere using data assimilation of IMAGE/EUV data International conference

    中野 慎也, Fok M-C, Br, dt P. C, Higuchi T

    第130回SGEPSS総会  ( 神戸 日本 )   2011.11 

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  • FLR地上磁場観測とTEC観測からのプラズマ圏3次元密度分布推定法 International conference

    河野 英昭, 才田 聡子, 上野 玄太, 樋口 知之, 中野 慎也, 湯元 清文

    第130回SGEPSS総会  ( 神戸 日本 )   2011.11 

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  • Timing relation between positive bay onsets, Pi2 onsets, auroral initial brightenings and auroral breakups International conference

    徳永 旭将, 中村 和幸, 樋口 知之, 魚住 禎司, 吉川 顕正, 森岡 昭, 湯元 清文, MAGDAS, CPMNグループ

    第130回SGEPSS総会  ( 神戸 日本 )   2011.11 

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  • データ同化による半現実世界の実現〜オンライン情報統合とアンサンブル予測の計算基盤〜

    樋口 知之

    電子情報通信学会パターン認識とメディア理解研究会(PRMU研究会)  ( 千葉市 日本 )   2011.10 

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  • 基調講演【開設記念市民講演会】 Invited

    樋口 知之

    明治大学先端数理科学研究科開設記念シンポジウム  ( 東京都 日本 )   2011.10 

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  • 階層ベイズ状態空間モデルを用いた消費者来店行動の解析

    佐藤 忠彦, 樋口 知之

    マーケティングの統計モデリング研究部会  ( 仙台 日本 )   2011.9 

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  • 市場反応の構造的変化を仮定したブランド選択行動の解析

    本橋 永至, 樋口 知之

    マーケティングの統計モデリング研究部会  ( 仙台 日本 )   2011.9 

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  • 大地震によって励起される地震音波の伝搬特性

    長尾 大道, 小林 直樹, 深尾 良夫, 樋口 知之, 石原 靖, 坪井 誠司

    電離圏・磁気圏モデリングとデータ同化研究集会  ( 名古屋 日本 )   2011.9 

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  • 極端紫外光データを用いたプラズマ圏構造の推定?現状あるいは課題

    中野 慎也, Fok M-C, Bra, dt P. C, 樋口 知之

    電離圏・磁気圏モデリングとデータ同化研究集会  ( 名古屋 日本 )   2011.9 

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  • 減災とデータ同化

    樋口 知之

    電離圏・磁気圏モデリングとデータ同化研究集会  ( 名古屋 日本 )   2011.9 

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  • Merging particle filterによる地磁気長期変動成分の抽出

    中野 慎也, 樋口 知之

    統計関連学会連合大会  ( 福岡市 日本 )   2011.9 

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  • クラウドコンピューティングを利用したデータ同化システムの開発 (序)

    長尾 大道, 樋口 知之

    統計関連学会連合大会  ( 福岡市 日本 )   2011.9 

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  • A state-space approach to capturing market dynamics for frequently purchased products International conference

    Motohashi E, Higuchi T

    2011 Joint Statistical Meetins (JSM)  ( Florida U.S.A. )   2011.8 

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  • A State-Space Approach to Capturing Market Dynamics for Frequently Purchased Products International conference

    Motohashi E, Higuchi T

    2011 Joint Statistical Meetings  ( Florida U.S.A. )   2011.8 

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  • Estimation of macroscopic parameter in agent-based pandemic simulation International conference

    Saito M, Imoto S, Yamaguchi R, Miyano S, Higuchi T

    FUSION2011  ( Chicago U.S.A. )   2011.7 

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  • Fault parameter estimation with data assimilation on infrasound variations due to big earthquakes International conference

    Nagao H, Kobayashi N, Nakano S, Higuchi T

    FUSION2011  ( Chicago U.S.A. )   2011.7 

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  • Embedding reality in a numerical simulation with data assimilation International conference

    Higuchi T

    FUSION2011  ( Chicago U.S.A. )   2011.7 

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  • Anti-correlation between the quiet-time level of mid-latitude magnetic field and long-term solar-wind activity International conference

    Nakano S, Nagao H, Higuchi T

    IUGG 2011  ( Melborne Australia )   2011.7 

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  • Displacement of conjugate point during a substorm in a global MHD simulation International conference

    Saita S, Kadokura A, Sato N, Fujita S, Tanaka T, Ebihara Y, Ohtani S, Ueno G, Murata K, Higuchi T

    IUGG 2011  ( Melborne Australia )   2011.7 

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  • Data Assimilation of EUV Imaging Data into a Plasmasphere Model International conference

    Nakano S, Fok M-C, Bra, dt P. C, Higuchi T

    IUGG 2011  ( Melborne Australia )   2011.7 

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  • Massively parallel particle filter and a grouping strategy International conference

    Nakano S, Higuchi T

    IUGG2011  ( Melborne Australia )   2011.7 

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  • 市場のダイナミクスと消費者の購買特性を考慮したプロモーション効果測定

    本橋 永至, 樋口 知之

    第42回消費者行動研究コンファレンス「消費者行動研究のクロスボーダー」  ( 東京 日本 )   2011.6 

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  • Dynamic Bayesian modelling of biological pathways and decoupling of hidden regulatory signals using nonlinear state space models International conference

    Yoshida R, Nagao H, Saitoh M, Higuchi T

    Yeditepe International Research Conference on Bayesian Learning (YIRCoBL'11)  ( Istanbul Turkey )   2011.6 

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  • Hybrid Bayesian filter algorithm for multivariate time-series modellings on cloud computing systems International conference

    Nagao H, Yoshida R, Higuchi T

    YIRCoBL'11  ( Istanbul Turkey )   2011.6 

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  • Modeling dynamics of consumer preference and promotion effect in brand choices International conference

    Motohashi E, HiguchiT

    33rd INFORMS Marketing Science Conference  ( Texas U.S.A. )   2011.6 

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  • Estimation of temporal evolution of the plasmasphere using IMAGE/EUV data International conference

    樋口 知之, 中野 慎也, Fok M-C, B, P. C

    日本地球惑星科学連合大会  ( 千葉 日本 )   2011.5 

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  • 静穏時地磁気H成分と太陽風活動長期変動との関係

    中野 慎也, 長尾 大道, 樋口 知之

    日本地球惑星科学連合2011年大会  ( 千葉市 日本 )   2011.5 

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  • Singular Value Transformation を用いた地上磁場からのサブストームオンセットの同定 International conference

    徳永 旭将, 湯元 清文, 魚住 禎司, 吉川 顕正, 中村 和幸, 樋口 知之, 池田 大輔, MAGDAS, CPMNグループ

    日本地球惑星科学連合2011年大会  ( 千葉市 日本 )   2011.5 

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  • グローバルMHDシミュレーションによるサブストーム時の磁気圏近尾部磁場構造の再現

    才田 聡子, 門倉 昭, 佐藤 夏雄, 藤田 茂, 田中 高史, 海老原 祐輔, 大谷 晋一, 上野 玄太, 村田 健史, 松岡 大祐, 樋口 知之

    日本地球惑星科学連合2011年大会  ( 千葉市 日本 )   2011.5 

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  • 地上磁場と GPS TEC の同時観測データを用いるプラズマ圏密度分布推定 International conference

    河野 英昭, 才田 聡子, 上野 玄太, 樋口 知之, 中野 慎也, 湯元 清文

    日本地球惑星科学連合2011年大会  ( 千葉市 日本 )   2011.5 

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  • 地震波・地震音波データ同化による2008年岩手・宮城内陸地震の断層パラメータ推定

    長尾 大道, 中野 慎也, 樋口 知之

    日本地球惑星科学連合2011年大会  ( 千葉市 日本 )   2011.5 

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  • 粒子フィルタのプラズマ圏データ同化への応用 International conference

    中野 慎也, Fok M-C, Bra, dt P. C, 樋口 知之

    日本地球惑星科学連合2011年大会  ( 千葉市 日本 )   2011.5 

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  • Modeling human behavior selection under environmental subsidy policy by multi-agent simulation International conference

    Imoto T, Nakano S, Higuchi T

    AAMAS2011  ( Taipei Taiwan )   2011.5 

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  • Parallel agent-based simulator for Influenza pandemic International conference

    Saitoh M, Imoto S, Yamaguchi R, Sato H, Nakada H, Kami M, Miyano S, Higuchi T

    AAMAS2011  ( Taipei Taiwan )   2011.5 

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  • Dynamic brand choice modeling based on the state-space approach International conference

    Motohashi E, Higuchi T

    SIAM International Workshop on Data Mining for Marketing (DMM2011)  ( Arizona U.S.A. )   2011.4 

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  • 粒子フィルタ法を利用した日本沿岸部における潮位の長期変動解析

    長尾 大道, 樋口 知之, 三浦 哲, 稲津 大祐

    第1回データ同化ワークショップ  ( つくば市 日本 )   2011.4 

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  • アンサンブルフィルタにおける誤差共分散行列の最尤推定

    上野 玄太, 樋口 知之, 鍵本 崇, 広瀬 直毅

    第60回理論応用力学講演会(NCAM2011)  ( 東京都 Japan )   2011.3 

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  • Alternatively lattice-pattern switching strategy

    中野 慎也, 樋口 知之

    第60回理論応用力学講演会(NCTAM2011)  ( 東京都 Japan )   2011.3 

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  • Displacement of geomagnetic conjugate points due to substorm-related changes in the near-Earth magnetotail field structure International conference

    Saita S, Kadokura A, Sato N, Fujita S, Tanaka T, Ebihara Y, Ohtani S, Ueno G, Murata K, Matsuoka D, Higuchi T

    AGU Chapman Conference on Relationship Between Auroral Phenomenology and Magnetospheric Processes  ( Fairbanks U.S.A )   2011.3 

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  • LiSDAS: Making whole gene simulators for transcriptional dynamics with fully automatic modelling

    吉田 亮, 長尾 大道, 斎藤 正也, 樋口 知之

    第3回バイオスーパーコンピューティングシンポジウム  ( 神戸市 Japan )   2011.2 

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  • Alternatively lattice-pattern switching strategy for the particle filter on a massively parallel computer

    中野 慎也, 樋口 知之

    第3回バイオスーパーコンピューティングシンポジウム  ( 神戸市 Japan )   2011.2 

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  • 新型インフルエンザ対策のための並列パンデミック・シミュレータ

    斎藤 正也, 井元 清哉, 山口 類, 佐藤 弘樹, 中田 はる佳, 上 昌広, 宮野 悟, 樋口 知之

    バイオスーパーコンピューティング シンポジウム  ( 神戸市 Japan )   2011.2 

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  • Estimation performance of LiSDAS by means of massive parallel computers

    Nagao H, Yoshida R, Saito M, Higuchi T

    第3回 バイオスーパーコンピューティングシンポジウム  ( 神戸市 Japan )   2011.2 

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  • Data Assimilation: Developing the Synthesis Tool for Fusion of Heterogeneous Information Sources and Building the Cyber-enabled Discovery Systems in Data-centric Science International conference

    Higuchi T

    the 14th SANKEN International Symposium 2011  ( Ohtsu Japan )   2011.1 

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  • LiSDAS: Life Science Data Assimilation Systems

    Yoshida R, Saitoh M, Nagao H, Nakano S, Nagasaki M, Yamaguchi R, Imoto S, Yamauchi M, Goto N, Miyano S, Higuchi T

    次世代スーパーコンピューティング・シンポジウム2010および第1回戦略プログラム5分野合同ワークショップ  ( 神戸市 Japan )   2011.1 

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  • CloCK-TiME: cloud computing kernel for time-series modeling engine International conference

    Nagao H, Higuchi T

    The 3rd International Conference of the ERCIM Working Group on Computing & Statistics(ERCIM'10)  ( London United Kingdom )   2010.12 

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  • Data assimilation of EUV imaging data for modeling the plasmasphere

    中野 慎也, Fok M.-C, Brandt P.C, 樋口 知之

    第34回極域宙空圏シンポジウム  ( 立川市 Japan )   2010.12 

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  • Relative displacement of conjugate point during a

    才田 聡子, 門倉 昭, 佐藤 夏雄, 藤田 茂, 田中 高史, 海老原 祐輔, 大谷 晋一, 上野 玄太, 村田 健史, 松岡 大祐, 北本 朝展, 樋口 知之

    第34回極域宙空圏シンポジウム  ( 立川市 Japan )   2010.12 

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  • 地上磁場観測とGPS TECのデータ統合によるプラズマ圏密度推定に向けて

    河野 英昭, 才田 聡子, 上野 玄太, 樋口 知之, 中野 慎也, 湯元 清文

    第128回 SGEPSS総会  ( 那覇市 日本 )   2010.11 

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  • Subannual variation in the Dst index and its relationship with solar-wind parameters

    Nakano S, Higuchi T

    第128回 SGEPSS総会  ( 那覇市 日本 )   2010.11 

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  • Reproducing eigenfrequency of high-latitude geomagnetic field line in a global MHD simulation

    才田 聡子, 門倉 昭, 山岸 久雄, 佐藤 夏雄, 藤田 茂, 田中 高史, 海老原 祐輔, 村田 健史, 松岡 大祐, 上野 玄太, 樋口 知之

    第128回 SGEPSS総会  ( 那覇市 日本 )   2010.11 

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  • データ同化によるヘテロ情報の統融合 Invited

    樋口 知之

    第88回日本機械学会流体工学部門講演会  ( 米沢市 日本 )   2010.10 

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  • データ同化によるシミュレーションと計測データの統融合 Invited

    樋口 知之

    JSPS:産業計測第36委員会研究会  ( 東京都 日本 )   2010.10 

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  • モデリング技術を備えた人材の育成に必要なものは?:現在の大学院教育に欠ける視点

    樋口 知之

    情報・システム研究機構シンポジウム:情報とシステム2010  ( 東京都 日本 )   2010.10 

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  • Bayesian experts in exploring reaction kinetics of transcription circuits International conference

    Yoshida R, Saito M, Nagao H, Higuchi T

    9th European Conference on Computational Biology(ECCB10)  ( Ghent Belgium )   2010.9 

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  • Dynamic profile of transcription factors inferred from mRNA expression time courses in Gefitinib-treated lung cancer cells International conference

    Nagao H, Yoshida R, Saito M, Imoto S, Nagasaki M, Yamaguchi R, Yamauchi M, Goto N, Miyano S, Higuchi T

    9th European Conference on Computational Biology(ECCB10)  ( Ghent Belgium )   2010.9 

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  • An EUV data assimilation technique for the modeling of the plasmasphere using the particle filter International conference

    Nakano S, Fok M-C, Brandt P C, Higuchi T

    2010 Asia-Pacific Radio Science Conference(AP-RASC'10)  ( Toyama Japan )   2010.9 

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  • Easy and simple methods to estimate parameter values in the numerical simulation model for sequential data assimilation International conference

    Higuchi T, Yoshida R

    2010 Asia-Pacific Radio Science Conference(AP-RASC'10)  ( Toyama Japan )   2010.9 

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  • エージェントシミュレーションによる補助金政策の最適実施期間推定

    井元 智子, 中野 慎也, 樋口 知之

    環境経済・政策学会  ( 名古屋市 日本 )   2010.9 

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  • 状態空間モデリングによる遺伝子発現制御に関わる動的薬剤効果の推定

    山口 類, 井元 清哉, 山内 麻衣, 島村 撤平, 長崎 正朗, 吉田 亮, 樋口 知之, 後藤 典子, 宮野 悟

    統計関連学会連合大会  ( 東京都 日本 )   2010.9 

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  • 消費者行動理解のための動的ブランド選択モデリング

    本橋 永至, 樋口 知之

    統計関連学会連合大会  ( 東京都 日本 )   2010.9 

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  • GPGPUを用いた統計計算アルゴリズムの革新的高速化

    林 圭佐, 齋藤 正也, 樋口 知之

    統計関連学会連合大会  ( 東京都 日本 )   2010.9 

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  • 遺伝子発現時系列データおよびバイオデータベース情報を基にした活性/抑制型転写因子の同定

    長尾 大道, 吉田 亮, 齋藤 正也, 樋口 知之, 長崎 正朗, 井元 清哉, 山口 類, 宮野 悟, 山内 麻衣, 後藤 典子

    統計関連学会連合大会  ( 東京都 日本 )   2010.9 

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  • クラウド計算サービスに向けた粒子フィルタを基盤とする時系列解析ソフトウェアの開発

    長尾 大道, 樋口 知之

    統計関連学会連合大会  ( 東京都 日本 )   2010.9 

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  • 大規模並列計算機における高次元非線形システムの状態推定について

    中野 慎也, 樋口 知之

    統計関連学会連合大会  ( 東京都 日本 )   2010.9 

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  • 癌細胞シミュレーションと生化学反応系の統計モデリング

    吉田 亮, 長尾 大道, 齋藤 正也, 長崎 正朗, 井元 清哉, 山口 類, 山内 麻衣, 後藤 典子, 宮野 悟, 樋口 知之

    統計関連学会連合大会  ( 東京 日本 )   2010.9 

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  • ビジネスモデルとリンクしたHPC環境下における統計計算

    樋口 知之, 中野 慎也

    統計関連学会連合大会  ( 東京都 日本 )   2010.9 

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  • クラスタリングに基づくフェイシャル・モーション・キャプチャーデータ内の相互作用部位の発見

    廣瀬 慧, 樋口 知之

    統計関連学会連合大会  ( 東京都 日本 )   2010.9 

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  • データ同化による都市間移動を考慮したインフルエンザA (H1N1) パンデミックシミュレーション

    齋藤 正也, 井元 清哉, 山口 類, 佐藤 弘樹, 中田 はる佳, 上 昌広, 宮野 悟, 樋口 知之

    統計関連学会連合大会  ( 東京都 日本 )   2010.9 

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  • 統計的モデリングによる消費者行動のダイナミクスの理解

    佐藤 忠彦, 樋口 知之

    第3回横幹連合総合シンポジウム  ( 東京都 日本 )   2010.9 

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  • 超並列計算環境下での粒子フィルタの実装法と逐次データ同化への適応

    中野 慎也, 齋藤 正也, 長尾 大道, 樋口 知之

    第3回横幹連合総合シンポジウム  ( 東京都 日本 )   2010.9 

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  • HPCとともに進化する大規模データ同化

    樋口 知之

    SS研HPCフォーラム2010「e-サイエンスのフロンティア  ( 東京都 日本 )   2010.8 

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  • Implementation of Sequential Importance Samplin International conference

    Hayashi K, Saito M, Yoshida R, Higuchi T

    FUSION 2010  ( Edinburgh UK )   2010.7 

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  • Web application for time-series analysis based on particle filter available on cloud computing system International conference

    Nagao H, Higuchi T

    FUSION2010  ( Edinburgh UK )   2010.7 

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  • A dynamic grouping strategy for implementation of the particle filter on a massively parallel computer International conference

    Nakano S, Higuchi T

    FUSION 2010  ( Edinburgh UK )   2010.7 

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  • The dayside field-aligned currents source regions International conference

    Wing Simon, Ohtani Shin, Johnson Ja, Higuchi T, Ueno G, Newell, Patrick T, Weygand James

    AOGS2010  ( Hyderabad India )   2010.7 

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  • 状態空間アプローチによる動的ブランド選択モデル

    本橋 永至, 樋口 知之

    日本マーケティング・サイエンス学会第87回研究大会  ( 大阪 日本 )   2010.6 

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  • GPGPUによるバイオロジカルパスウェイモデルのパラメータ推定の高速高速化

    林 圭佐, 樋口 知之

    第59回理論応用力学講演会  ( 東京 日本 )   2010.6 

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  • 大地震に伴う微気圧変動へのデータ同化の応用

    長尾 大道, 中野 慎也, 樋口 知之

    第59回理論応用力学講演会  ( 東京 日本 )   2010.6 

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  • 極端紫外線データの同化に基づくプラズマ圏分布推定手法の開発

    中野 慎也, Fok M-C, Bra, dt P. C, 樋口 知之

    第59回理論応用力学講演会  ( 東京 日本 )   2010.6 

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  • LiSDAS: Life Science Data Assimilation Systems

    吉田 亮, 長尾 大道, 斎藤 正也, 樋口 知之

    第59回理論応用力学講演会  ( 東京 日本 )   2010.6 

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  • 未来のバイオ・医療を支えるモデリング技術−生体情報系の複雑性とその克服

    樋口 知之

    第31回日本循環制御医学会総会  ( 大阪 日本 )   2010.5 

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  • 特異スペクトル分析の応用による地上磁場データからのオーロラサブストーム前兆検出

    徳永 旭将, 中村 和幸, 池田 大輔, 樋口 知之, 吉川 顕正, 魚住 禎司, 藤本 晶子, 森岡 昭, 湯元 清文

    日本地球惑星科学連合2010年  ( 千葉市 日本 )   2010.5 

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  • 地上磁場データとGPS-TECデータの統合によるプラズマ圏密度推定に向けて

    河野 英昭, 才田 聡子, 上野 玄太, 樋口 知之, 中野 慎也, 湯元 清文

    日本地球惑星科学連合2010年  ( 千葉市 日本 )   2010.5 

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  • 微気圧・地震データ同化によって推定されたモデルパラメータの事後分布

    長尾 大道, 中野 慎也, 樋口 知之

    日本地球惑星科学連合2010年  ( 千葉市 日本 )   2010.5 

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  • 長期潮位データ解析を目的とした粒子フィルタコードの開発

    長尾 大道, 樋口 知之, 三浦 哲, 稲津 大祐

    日本地球惑星科学連合2010年  ( 千葉市 日本 )   2010.5 

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  • Application of data assimilation technique for the modeling of the plasmasphere using EUV imaging data

    Nakano Shinya, Fok, M.-C, Brandt, P.C, Higuchi Tomoyuki

    日本地球惑星科学連合2010年  ( 千葉市 日本 )   2010.5 

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  • GEMSIS_電離圏:擾乱時のグローバルな電離圏電場ポテンシャル分布の導入に向けて

    海老原 祐輔, 菊池 崇, 家田 章正, 新堀 淳樹, 平木 康隆, 堀 智昭, 西谷 望, 樋口 知之, 上野 玄太, 大谷 晋一

    日本地球惑星科学連合2010年  ( 千葉市 日本 )   2010.5 

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  • 沿磁力線電流大規模構造の経験モデルと宇宙天気への応用

    堀 智昭, 平木 康隆, 海老原 祐輔, 新堀 淳樹, 家田 章正, 菊池 崇, 上野 玄太, 樋口 知之, Wing, Simon, Ohtani, Shinichi

    日本地球惑星科学連合2010年  ( 千葉市 日本 )   2010.5 

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  • Dependence of premidnight field-aligned currents and particle precipitation on solar illumination

    Ohtani Shinichi, Wing Simon, Ueno Genta, Higuchi Tomoyuki

    日本地球惑星科学連合2010年  ( 千葉市 日本 )   2010.5 

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  • 見える化で増すデータ同化のインパクト

    樋口 知之

    日本計算機統計学会  ( 立川市 日本 )   2010.5 

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  • 状態空間アプローチによる購買意思決定プロセスの動的変化に関する研究

    本橋 永至, 樋口 知之

    第40回消費者行動研究カンファレンス  ( 東京 日本 )   2010.5 

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  • Maximum likelihood estimation of error covariances in ensemble-based filters and its application to a coupled atmosphere-ocean model International conference

    Ueno G, Higuchi T, Kagimoto T

    EGU General Assembly 2010  ( vienne Austria )   2010.5 

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  • アクセラレータを活用した統計計算の革新的高速化

    樋口 知之

    統計数理セミナー  ( 立川市 日本 )   2010.4 

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  • データ同化がつくる半現実世界

    樋口 知之

    融合研究ワークショップ  ( 仙台 日本 )   2010.4 

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  • 高次元状態空間に対する粒子フィルタIEPFの提案

    VIETPHUONG NGUYEN, 鷲尾 隆, 樋口 知之

    情報処理学会創立50周年記念(第72回)全国大会  ( 東京都 日本 )   2010.3 

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  • 信号処理にみる心眼と真贋

    樋口 知之

    よこはまNMR構造生物学研究会  ( 横浜市 日本 )   2010.3 

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  • GPGPU-driven parameter search in biological pathway model

    Saito M, Hayashi K, Yoshida R, Higuchi T

    Accelerated Computing  ( 東京 日本 )   2010.1 

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  • 逐次データ同化入門:数理的基礎と最新の動向

    樋口 知之

    第三回EFD/CFD融合ワークショップ  ( 東京都 日本 )   2010.1 

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  • An empirical field-aligned current model based on the DMSP and DE 2 satellites International conference

    T. Hori, Y. Ebihara, Y. Hiraki, A. Shinbori, A. Ieda, T. Kikuchi, G. Ueno, T. Higuchi, S. Wing, S. Ohtani

    2009 AGU Fall Meeting  ( San Francisco U. S. A. )   2009.12 

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  • Identification of substorm precursor and expansion onsets by applying Singular Spectrum Transformation to ground-magnetometer data International conference

    2009 AGU Fall Meeting  ( San Francisco U.S.A. )   2009.12 

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  • A new analysis method using the particle filter algorithm applicable to long-period tide guade records International conference

    Nagao H, Higuchi T, Miura S, Inazu D

    2009 AGU Fall Meeting  ( San Francisco U.S.A. )   2009.12 

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  • A data assimilation method for plasmasphere modeling using EUV imaging data International conference

    Nakano S, M.-C.Fok, P.C. Brandt, Higuchi, T

    2009 AGU Fall Meeting  ( San Francisco U.S.A. )   2009.12 

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  • Locations of night-side particle precipitation boundaries relative to R2 and R1 currents International conference

    Ohtani S, Wing S, Newell P. T, Ueno G, Higuchi T

    2009 AGU Fall Meeting  ( San Francisco U.S.A. )   2009.12 

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  • Relationships between dayside field-aligned currents and particle precipitation International conference

    S. Wing, S. Ohtani, T. Higuchi, G. Ueno, J. M. Weygand

    2009 AGU Fall Meeting  ( San Francisco U.S.A. )   2009.12 

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  • Interhemispheric asymmetry of field-aligned currents and particle precipitation in the premidnight sector: Dependence on solar illumination at the ionospheric footpoint International conference

    Higuchi T, Ohtani S, Wing S, Ueno G

    2009 AGU Fall Meeting  ( San Francisco U.S.A. )   2009.12 

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  • 長期潮位データ解析を目的とした粒子フィルタコードの開発

    長尾 大道, 樋口 知之, 三浦 哲, 稲津 大祐

    第112回日本測地学会  ( つくば市 日本 )   2009.11 

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  • STPデータからの異常検知法の開発~Substorm precursor検出への応用

    徳永 旭将, 中村 和幸, 樋口 知之, 吉川 顕正, 魚住 禎司, 池田 大輔, 藤本 晶子, 森岡 昭, 湯元 清文

    第6回宇宙環境シンポジウム  ( 北九州市 日本 )   2009.10 

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  • Merging particle filter for high-dimensional nonlinear problems International conference

    Nakano S, Ueno G, Higuchi T

    The 5TH WMO Symposium on Data Assimilation  ( Melbourne Australia )   2009.10 

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  • 地上観測されたPi2型地磁気脈動のグローバルな波動特性解析のための周波数領域独立成分分析の応用

    徳永 旭将, 吉川 顕正, 魚住 禎司, 樋口 知之大, 中村 和幸, 湯元 清文

    第126回地球電磁気・地球惑星圏学会  ( 金沢市 日本 )   2009.9 

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  • Feasibility of EUV data assimilation for the modeling of the plasmasphere

    中野 慎也, M.-C.Fok, P.C. Brandt, 樋口 知之

    第126回地球電磁気・地球惑星圏学会  ( 金沢市 日本 )   2009.9 

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  • 衛星観測に基づいた沿磁力線電流の大規模構造に関する経験モデルの開発:GEMSISプロジェクト

    堀 智昭, 海老原 祐輔, 平木 康隆, 新堀 淳樹, 家田 章正, 菊池 崇, 上野 玄太, 樋口 知之, 大谷 晋一

    第126回地球電磁気・地球惑星圏学会  ( 金沢市 日本 )   2009.9 

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  • 環境補助金政策に対するエージェントシミュレーションを用いた生産者変動分析

    井元 智子, 樋口 知之

    環境経済・政策学会2009年大会  ( 千葉 日本 )   2009.9 

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  • 長周期の潮位データ解析を目的とした粒子フィルタコードの開発

    長尾 大道, 樋口 知之, 三浦 哲, 稲津 大祐

    明治大学グローバルCOEプログラム「非線形時系列に対する現象数理学の発展」シンポジウム  ( 東京都 日本 )   2009.9 

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  • 次世代の計測と計算

    井元 清哉, 樋口 知之

    統計関連学会連合大会  ( 京都市 日本 )   2009.9 

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  • 超多数粒子フィルタによる遺伝子ネットワークデータ同化

    中村 和幸, 吉田 亮, 長崎 正朗, 樋口 知之

    統計関連学会連合大会  ( 京都市 日本 )   2009.9 

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  • 潮位データの統計解析による日本周辺海域の特徴抽出

    長尾 大道, 樋口 知之, 三浦 哲

    統計関連学会連合大会  ( 京都市 日本 )   2009.9 

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  • 状態空間モデルからの動的予測に基づく遺伝子発現制御関係の差異の探索

    山口 類, 井元 清哉, 島村 徹平, 山内 麻衣, 長崎 正朗, 吉田 亮, 樋口 知之, 後藤 典子, 宮野 悟

    統計関連学会連合大会  ( 京都市 日本 )   2009.9 

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  • Development of an EUV data assimilation technique for plasmasphere modeling International conference

    Nakano S, Fok M-C, Brandt P-C, Higuchi T

    IAGA 11th Scientific Assembly  ( Sopron Hungary )   2009.8 

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  • Statistical analysis of influence of the solar-wind pressure enhancement on the region-2 field-aligend currents International conference

    Nakano S, Ueno G, Ohtani S, Higuchi T

    IAGA 11th Scientific Assembly  ( Sopron Hungary )   2009.8 

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  • Monthly-scale variation of the DST index and its relationship with solar-wind conditions International conference

    Nakano S, Higuchi T

    IAGA 11th Scientific Assembly  ( Sopron Hungary )   2009.8 

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  • LiSDAS-Life Science Data Assimilation System-の開発ロードマップと現況報告

    樋口 知之

    第9回データ解析融合ワークショップ  ( 東京都 日本 )   2009.8 

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  • Basic concept of automatic identification of large-scale FAC

    The workshop on large-scale field-aligned current systems and associated processes in the magnetosphere and ionosphere  ( Tokyo Japan )   2009.7 

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  • Acceleration of Particle Filter using GPGPU in Genomic Data Assimilation International conference

    Saito M, Hayashi K, Nakamura K, Nakano S, Higuchi T

    Joint Computational Science Workshop 2009  ( Yokohama Japan )   2009.7 

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  • Hierarchical particle filter embedded in the heterogenous parallel computing platform for data assimilation International conference

    Higuchi T

    Joint Computational Science Workshop 2009  ( Yokohama Japan )   2009.7 

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  • データ同化:データとシミュレーションの統融合

    樋口 知之

    第23回システムバイオロジー研究会  ( 東京 日本 )   2009.6 

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  • プロモーション期待を考慮した動的売上反応モデル

    佐藤 忠彦, 照井 伸彦, 樋口 知之

    日本マーケティング・サイエンス学会第85回研究大会  ( 京都 日本 )   2009.6 

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  • 海洋潮汐データとシミュレーションの統合による海底地形データセットの最適化

    稲津 大祐, 樋口 知之, 中村 和幸

    第58回理論応用力学講演会  ( 東京 日本 )   2009.6 

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  • 遺伝子ネットワークモデルにおけるデータ同化と大規模並列粒子フィルタによる実装

    中村 和幸, 吉田 亮, 長崎 正朗, 宮野 悟, 樋口 知之

    第58回理論応用力学講演会  ( 東京 日本 )   2009.6 

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  • データ同化による磁気圏プラズマ分布の推定

    中野 慎也, 上野 玄太, 海老原 祐輔, M.-C.Fok, 大谷 晋一, P.C. Brandt, 樋口 知之

    第58回理論応用力学講演会  ( 東京 日本 )   2009.6 

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  • 大気海洋データ同化システムの構築と検証

    上野 玄太, 樋口 知之, 鍵本崇, 広瀬 直毅

    第58回理論応用力学講演会  ( 東京 日本 )   2009.6 

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  • Pi 2 型地磁気脈動の生成・伝播機構解明に関する知見獲得のための独立成分分析の応用 International conference

    徳永 旭将, 吉川 顕正, 魚住 禎司, 樋口 知之, 中村 和幸, 湯元 清文

    日本地球惑星科学連合2009年大会  ( 千葉 日本 )   2009.5 

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  • 進化アルゴリズムを用いた海洋潮汐モデルの境界条件およびパラメータの最適化 International conference

    稲津 大祐, 樋口 知之, 中村 和幸

    日本地球惑星科学連合2009年大会  ( 千葉 日本 )   2009.5 

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  • 入れ子型粒子フィルタアルゴリズムとその並列計算機上でのデータ同化への応用 International conference

    中野 慎也, 上野 玄太, 中村 和幸, 樋口 知之

    日本地球惑星科学連合2009年大会  ( 千葉 日本 )   2009.5 

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  • 時系列データマイニングによる動的ヘテロなシステムからの知識発見 -宇宙天気研究における大規模帰納処理システム構築へ向けて International conference

    徳永 旭将, 中村 和幸, 樋口 知之, 池田 大輔, 大久保 翔, 藤本 晶子, 吉川 顕正, 湯元 清文

    日本地球惑星科学連合2009年大会  ( 千葉 日本 )   2009.5 

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  • Long-term component of the variation of the Dst index International conference

    中野 慎也, 樋口 知之

    日本地球惑星科学連合2009年大会  ( 千葉 日本 )   2009.5 

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  • Implementation of the particle filter and the merging particle filter in parallel computing systems International conference

    Nakano S, Ueno G, Nakamura K, Higuchi T

    European Geosciences Union General Assembly 2009  ( Vienne Austria )   2009.4 

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  • データ同化で挑む環境変動の量的理解と観測システムデザイン

    樋口 知之

    ISMシンポジウム 生態系のリスク管理と適応にむけた統計分析とその現状  ( 東京都 日本 )   2009.3 

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  • 進化アルゴリズムを用いた海底地形データセットの最適化

    稲津 大祐, 樋口 知之, 中村 和幸

    第73回 数理モデル化と問題解決 研究発表会  ( 沖縄 日本 )   2009.3 

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  • Sequential Data Assimilation: Online information fusion platform for simulation and observation data International conference

    Higuchi T

    第2回EFD/CFD融合ワークショップ  ( 川崎 日本 )   2009.2 

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  • Data Assimilation: basic aspects, applications, current status of the related

    Higuchi T

    The Road to ab initio Design of Materials and Bio-Artifacts  ( Tokyo Japan )   2009.2 

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  • サービス科学研究推進に真理の探究の姿勢で臨めるのか?

    樋口 知之

    第1回工学サービスワークショップ  ( 東京 日本 )   2009.1 

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  • データがとりもつ不思議な縁

    樋口 知之

    さきがけ「知の創生と情報社会」研究領域 第1回 領域会議  ( 仙台 日本 )   2009.1 

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  • モデリングの研究事例

    樋口 知之

    横幹連合・統数研・産総研合同ワークショップ  ( 東京 日本 )   2009.1 

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  • Parameter Estimation of In Silico Biological Pathways with Particle Filtering Towards a Petascale Computing International conference

    Nakamura K, Yoshida R, Nagasaki M, Miyano S, Higuchi T

    The Pacific Symposium on Biocomputing 2009(PSB)  ( Hawaii U.S.A. )   2009.1 

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  • 並列演算アクセラレータを活用した粒子フィルタ計算の高速化−予備実験と研究計画−

    齋藤 正也, 中村 和幸, 中野 慎也, 樋口 知之

    バイオスーパーコンピューティング・シンポジウム2008  ( 東京 日本 )   2008.12 

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  • ペタスケールコンピューティングに向けた超多数粒子フィルタの実装:遺伝子ネットワークモデルのパラメータ推定への適用

    中村 和幸, 吉田 亮, 長崎 正朗, 宮野 悟, 樋口 知之

    バイオスーパーコンピューティング・シンポジウム2008  ( 東京都 日本 )   2008.12 

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  • Effects of the solar-wind dynamic pressure on the Region-2 field-aligned current intensity International conference

    Nakano S, Ueno G, Ohtani S, Higuchi T

    2008 AGU Fall Meeting  ( San Francisco U.S.A. )   2008.12 

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  • Accurate ocean tide modeling in southeast Alaska and large tidal dissipation around Glacier Bay International conference

    Inazu D, Sato, Nakamura K, Miura S, Fujimoto H, C.F. Larsen, Higuchi T

    2008 AGU Fall Meeting  ( San Francisco U.S.A. )   2008.12 

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  • システム生物学的アプローチによる新規肺癌マーカーと分子標的の探索と解析 International conference

    山内 麻衣, 山口 類, 長崎 正朗, 島村 徹平, 井元 清哉, 斉藤 あゆむ, 植野 和子, 畑中 洋亮, 吉田 亮, 樋口 知之, 河野 隆志, 横田 淳, 宮野 悟, 後藤 典子

    第31回日本分子生物学会年会・第81回日本生化学大会合同大会(BMB2008)  ( 神戸 日本 )   2008.12 

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  • システム生物学的方法論による肺癌の新規バイオマーカー及び分子標的の探索 International conference

    後藤 典子, 山内 麻衣, 山口 類, 長崎 正朗, 島村 徹平, 井元 清哉, 斉藤 あゆむ, 植野 和子, 畑中 洋亮, 吉田 亮, 樋口 知之, 河野 隆志, 横田 淳, 宮野 悟

    第31回日本分子生物学会年会・第81回日本生化学大会合同大会(BMB2008)  ( 神戸 日本 )   2008.12 

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  • バイオマーカー・分子標的探索のための動的ネットワークを予測する計算科学的方法の開発 International conference

    井元 清哉, 山口 類, 島村 徹平, 玉田 嘉紀, 長崎 正朗, 斉藤 あゆむ, 植野 和子, 畑中 洋亮, 吉田 亮, 樋口 知之, 山内 麻衣, 後藤 典子, 宮野 悟

    第31回日本分子生物学会年会・第81回日本生化学大会合同大会(BMB2008)  ( 神戸 日本 )   2008.12 

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  • Data assimilation: A key technology for building the cyber-enabled discovery systems in simulation and data-centric sciences International conference

    Higuchi T

    IASC2008  ( Yokohama Japan )   2008.12 

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  • Fusion of observations and a dynamic model for modeling the inner magnetosphere

    Nakano S, Ueno G, Ebihara Y, M.-C.Fok, Ohtani S, P.C. Brand, Higuchi T

    2008年度磁気圏電離圏シンポジウム  ( 横浜 日本 )   2008.11 

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  • Data assimilation: Building the cyber-enabled discovery systems in data-centric science International conference

    Higuchi T

    Fifty Years after IGY  2008.11 

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  • Relationship between the Region-2 current intensity and the solar-wind dynamic pressure International conference

    中野 慎也, 上野 玄太, 大谷 晋一, 樋口 知之

    第124回地球電磁気・地球惑星圏学会 2008年SGEPSS秋学会  ( 仙台 日本 )   2008.10 

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  • 生命体パスウェイシミュレーションのためのデータ同化手法

    山口 類, 長崎 正朗, 吉田 亮, 井元 清哉, 山内 麻衣, 斉藤 あゆむ, 中村 和幸, 島村 徹平, 鄭 恩娥, 李 晨, 植野 和子, 池田 恵美, 関谷 弥生, 小島 要, 玉田 嘉紀, 藤田 アンドレ, 樋口 知之, 後藤 典子, 宮野 悟

    東京大学生命科学研究ネットワークシンポジウム2008  ( 東京 日本 )   2008.9 

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  • 動的個人モデルによる消費者購買生起行動の解析

    佐藤 忠彦, 樋口 知之

    統計関連学会連合大会  ( 東京 日本 )   2008.9 

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  • パスウェイシミュレーションを用いたデータ同化による生命内プロセスの予測

    山口 類, 吉田 亮, 長崎 正朗, 井元 清哉, 島村 徹平, 山内 麻衣, 後藤 典子, 樋口 知之, 宮野 悟

    統計関連学会連合大会  ( 東京 日本 )   2008.9 

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  • 欠損混合モデルとその応用

    中村 永友, 上野 玄太, 樋口 知之, 小西 貞則

    統計関連学会連合大会  ( 東京 日本 )   2008.9 

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  • 生命体シミュレーションにおけるデータ同化

    中村 和幸, 樋口 知之, 吉田 亮, 上野 玄太, 佐藤 整尚

    統計関連学会連合大会  ( 東京 日本 )   2008.9 

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  • Data assimilation with ensemble Kalman filter and maximum likelihood International conference

    Ueno G, Higuchi T, Kagimoto T, Hirose N

    Kickoff Tutorials & Workshop of SAMSI 2008-09 Program on Sequential Monte Carlo Methods  ( North Carolina U.S.A. )   2008.9 

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  • 統計的モデリングとしてのデータ同化と工学シミュレーションへの応用

    中村 和幸, 樋口 知之

    日本行動計量学会  ( 東京 日本 )   2008.9 

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  • Modeling and estimation of physical parameters in data assimilation International conference

    Nakamura K, Higuchi T

    2008 Joint Statistical Meetings  ( Denver U.S.A. )   2008.8 

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  • Divergence-based Kernel for spectrum classification and its applications International conference

    Ishigaki T, Higuchi T

    2008 Joint Statistical Meetings  ( Denver U.S.A. )   2008.8 

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  • State estimation of a coupled ocean-atmosphere system by the ensemble Kalman filter and smoother International conference

    Ueno G, Higuchi T, Kagimoto T, Hirose N

    the 9th World Conference of the International Society for Bayesian Analysis (ISBA)  ( Hamilton Island Australia )   2008.7 

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  • Parameter identification of a pressure regulator with a nonlinear structure using a particle filter based on the nonlinear state space modele International conference

    Ishigaki T, Higuchi T

    The 11th International Conference on Information FUSION  ( Köln Germany )   2008.7 

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  • ペトリネットによる転写制御ネットワークのモデリングと統計的推測

    吉田 亮, 長崎 正朗, 山口 類, 井元 清哉, 宮野 悟, 樋口 知之

    情報処理学会・第13回バイオ情報学研究会  ( 沖縄 日本 )   2008.6 

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  • A Framework of Multivariable-Simultaneous Measurement by a Single Device International conference

    Ishigaki T, Higuchi T, Watanabe K

    Conference on Advanced Mathematical and Computational Tools in Metrology and Testing  ( Paris France )   2008.6 

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  • Estimation of an uncertain parameter in dynamic nonlinear models using ensemble-based data assimilation schemes International conference

    Nakano S, Ueno G, Higuchi T

    Asia Oceania Geosciences Society  ( Busan Korea )   2008.6 

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  • Assessment of ensemble efficiency in ensemble-based filters and smoothers for prediction International conference

    Nakamura K, Higuchi T

    Asia Oceania Geosciences Society  ( Busan Korea )   2008.6 

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  • A feasibility study of ring current modeling using data assimilation of multi-satellite observations International conference

    Nakano S, Ueno G, Ebihara Y, M.-C.Fok, Higuchi T

    Asia Oceania Geosciences Society  ( Busan Korea )   2008.6 

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  • アンサンブルカルマンフィルターによる大気海洋結合データ同化

    上野 玄太, 樋口 知之, 広瀬 直毅

    日本地球惑星科学連合2008年大会  ( 千葉 日本 )   2008.5 

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  • アンサンブル型逐次データ同化における予測性能

    中村 和幸, 樋口 知之

    日本地球惑星科学連合2008年大会  ( 千葉 日本 )   2008.5 

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  • Feasibility of data assimilation of multi-satellite measurements for ring current modeling

    Nakano S, Ueno G, Ebihara Y, M.-C.Fok, Higuchi T

    日本地球惑星科学連合2008年大会  ( 千葉 日本 )   2008.5 

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  • Modeling of evolution of magnetospheric ring current using a data assimilation approach

    Nakano S, Ueno G, Ebihara Y, M.-C.Fok, Ohtani S, P.C. Brandt, D.G.Mitchell, Keika K, Higuchi T

    日本地球惑星科学連合2008年大会  ( 千葉 日本 )   2008.5 

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  • Use of the merging particle filter for the estimation of an uncertain parameter in nonlinear

    Nakano S, Ueno G, Higuchi T

    日本地球惑星科学連合2008年大会  ( 千葉 日本 )   2008.5 

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  • Meta Gene Profiler:発現情報にもとづく遺伝子機能モジュールの統計的推測とウェブアプリケーション

    吉田 亮, 中村 和幸, 山口 類, 井元 清哉, 宮野 悟, 樋口 知之

    日本分子生物学会第8回春季シンポジウム  ( 札幌 日本 )   2008.5 

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  • Date Assimilation: Time-dependent Information Fusion from Numerical Simulation

    樋口 知之

    北陸先端科学技術大学院大学 第12回多次元セミナー  ( 石川県能美市 日本 )   2008.5 

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  • Data assimilation of energetic neutral atom data for two-dimensional modeling of the magnetospheric ring current International conference

    Nakano S, Ueno G, Ebihara Y, M.-C.Fok, Ohtani S, P.C. Brandt, D.G.Mitchell, Keika K, Higuchi T

    European Geosciences Union General Assembly 2008  ( Vienne Austria )   2008.4 

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  • Parameter estimation for dynamic nonlinear models using the merging particle filter International conference

    Nakano S, Ueno G, Higuchi T

    European Geosciences Union General Assembly 2008  ( Vienne Austria )   2008.4 

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  • Regularization of singular covariance matrices with graphical models International conference

    Ueno G, Higuchi T, Tsuchiya T, Kagimoto T, Hirose N

    European Geosciences Union General Assembly 2008  ( Vienne Austria )   2008.4 

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  • Dynamic Spectrum Classification by Divergence-Based Kernel Machines and Its Application to the Detection of Worn-out banknotes International conference

    Ishigaki T, Higuchi T

    IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP 2008)  ( Las Vegas U.S.A. )   2008.4 

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  • 統計的モデリングによるシミュレーションとデータ解析の統合

    樋口 知之

    産業技術数理コンソーシアム 第0回フォーラム  ( 東京都 日本 )   2008.3 

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  • Divergence-based カーネルによる音響時変スペクトル判別

    石垣 司, 樋口 知之

    電子情報通信学会2008年総合大会  ( 北九州 日本 )   2008.3 

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  • ENA data assimilation for ring current modeling

    Nakano S, Ueno G, Ebihara Y, M.-C. Fok, Ohtani S, P. C. Brandt, D. G. Mitchell, K. Keika, Higuchi T

    第3回ジオスペース環境科学研究会  ( 福岡 日本 )   2008.3 

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  • Bathymetry inversion by sequential data assimilation of Tsunami simulation model International conference

    Nakamura K, Higuchi T, Hirose N

    Ocean Sciences Meeting-Orlando  ( Orlando U.S.A. )   2008.3 

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  • Accurate tide modeling and semidiurnal seiches in Southeastern Alaska International conference

    Inazu D, Sato T, Nakamura K, Miura S, Fujimoto H, Larson, C. F, Higuchi T

    Ocean Sciences Meeting-Orlando  ( Orlando U.S.A. )   2008.3 

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  • 粒子フィルタによる圧力調整器シミュレーションモデルのパラメータ同定

    石垣 司, 樋口 知之

    第6回人工知能学会データマイニングと統計数理研究会  ( 大阪 日本 )   2008.2 

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  • 『機能と帰納プロジェクト』の紹介

    樋口 知之

    統計数理研究所共同利用研究重点テーマ「統計メタウェアの開発」共通公開研究会  ( 東京 日本 )   2008.2 

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  • データ同化の基礎概念と基盤的計算技術

    樋口 知之

    宇宙科学情報解析センターシンポジウム  ( 相模原 日本 )   2008.2 

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  • 逐次データ同化手法を支える基盤的計算技術

    樋口 知之

    第一回気象研究所・統計数理研究所共同ワークショップ  ( つくば 日本 )   2008.1 

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  • Beyesian data assimilation of in silico regulatory networks of biochemical molecules by using Hybrid Functional Petri Net International conference

    Yoshida R, Nagasaki M, Yamaguchi R, Imoto S, Miyano S, Higuchi T

    The Pacific Symposium on Biocomputing (PSB) 2008  ( Hawaii U.S.A. )   2008.1 

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  • 階層を超えるモデリングへの挑戦

    樋口 知之

    次世代生命体統合シミュレーション研究開発プロジェクト シンポジウム2007  ( 東京 日本 )   2007.12 

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  • Accurate modeling of regional oceanic tides for detiding gravimeter data at southeasern Alaska International conference

    Inazu D, Sato T, Nakamura K, Miura S, Higuchi T, Fujimoto H, C. Larsen

    2007 AGU Fall Meeting  ( San Francisco U.S.A. )   2007.12 

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  • Variations in the ring current and inner-magnetospheric electric field deduced from data assimilation of IMAGE/HENA data International conference

    Nakano S, Ueno G, Ebihara Y, M.-C. Fok, Ohtani S, P. C. Brandt, D. G. Mitchell, Keika K, Higuchi T

    2007 AGU Fall Meeting  ( San Francisco U.S.A. )   2007.12 

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  • Relationships between field-aligned currents and particle precipitation International conference

    Ueno G, S. Wing, Ohtani S, Higuchi T

    2007 AGU Fall Meeting  ( San Francisco U.S.A. )   2007.12 

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  • Statistical relationship between large-scale field-aligned currents and particle precipitation International conference

    Ohtani S, S. Wing, Ueno G, Higuchi T

    2007 AGU Fall Meeting  ( San Francisco U.S.A. )   2007.12 

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  • Application of ENA data assimilation to global modeling of space plasma environments International conference

    Higuchi T, Nakano S, Ueno G, Ebihara Y, M.-C. Fok, Ohtani S, P. C. Brandt, D. G. Mitchell, Keika K

    2007 AGU Fall Meeting  ( San Francisco U.S.A. )   2007.12 

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  • 集計データからの動的ブランド診断法の提案

    佐藤 忠彦, 樋口 知之

    82回日本マーケティング・サイエンス学会  ( 東京 日本 )   2007.12 

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  • データ同化:複雑システム理解の新しい道具

    樋口 知之, 中村 和幸

    日本行動計量学会  ( 東京 日本 )   2007.12 

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  • アラスカ州南東部における氷河後退に伴う高速地殻隆起の総合測地観測−海洋潮汐・領域モデルの改良−

    稲津 大祐, 佐藤 忠弘, 中村 和幸, 三浦 哲, 藤本 博巳, C. Larsen, 樋口 知之

    日本測地学会第108回講演会  ( 和歌山 日本 )   2007.11 

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  • 統計モデルを用いた大規模データの分類,変換,そして知識発見

    樋口 知之

    第10回 情報論的学習理論ワークショップ (IBIS 2007)  ( 横浜 日本 )   2007.11 

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  • アラスカ州南東部における氷河後退に伴う高速地殻隆起の総合測地観測−海洋潮汐・領域モデルの改良−

    稲津 大祐, 佐藤 忠弘, 中村 和幸, 三浦 哲, 樋口 知之, 藤本 博巳, Chris LARSEN

    日本地震学会2007年秋季大会  ( 仙台 日本 )   2007.10 

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  • データ同化:シミュレーション科学とデータ科学の交差点

    樋口知之

    第306回物性談話会  ( 名古屋 日本 )   2007.10 

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  • Data assimilation for modeling the ring current evolution International conference

    Nakano S, Ueno G, Ebihara Y, M.-C. Fok, Ohtani S, P. C. Brandt, D. G. Mitchell, Keika K, Higuchi T

    International CAWSES Symposium  2007.10 

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  • Merging particle filter における重みの設定について International conference

    Nakano S, Ueno G, Nakamura K, Higuchi T

    The International Workshop on Data-Mining and Statistical Science (DMSS2007)  ( 東京 日本 )   2007.10 

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  • Mixed factors analysis: Unsupervized statistical discrimination with kernel feature extraction International conference

    Yoshida R, Higuchi T, Imoto S, Miyano S

    The International Workshop on Data-Mining and Statistical Science (DMSS2007)  2007.10 

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  • Data assimilation approach for estimating unknown factors in a kinetic ring current model

    中野 慎也, 上野 玄太, 海老原 祐輔, M.-C. Fok, 大谷 晋一, P. C. Brandt, D. G. Mitchell, 桂華 邦裕, 樋口 知之

    地球電磁気・地球惑星圏学会第122回総会  ( 名古屋 日本 )   2007.9 

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  • Merging particle filter for high dimensional problems

    2007.9 

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  • アンサンブルカルマンフィルターによる大気海洋状態推定

    上野 玄太, 樋口 知之, 鍵本 崇, 広瀬 直毅

    統計関連学会連合大会  ( 神戸 日本 )   2007.9 

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  • 状態空間モデルにもとづく遺伝子ネットワークの統計的推測

    広瀬 修, 吉田 亮, 山口 類, 井元 清哉, 樋口 知之, 宮野 悟

    統計関連学会連合大会  ( 神戸 日本 )   2007.9 

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  • データ同化手法による津波シミュレーションの逆解析について

    中村 和幸, 広瀬 直毅, 樋口 知之

    統計関連学会連合大会  ( 神戸 日本 )   2007.9 

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  • ダイバージェンスに基づいたカーネル関数の正規化周波数スペクトル判別問題への適用とその応用例

    石垣 司, 樋口 知之

    統計関連学会連合大会  ( 神戸 日本 )   2007.9 

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  • 状態空間モデルによる消費者来店行動の動的解析

    佐藤 忠彦, 樋口 知之

    統計関連学会連合大会  ( 神戸 日本 )   2007.9 

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  • ゲノムデータ同化による生体内パスウェイシミュレーションモデルの展開

    山口 類, 吉田 亮, 長崎 正朗, 井元 清哉, 宮野 悟, 樋口 知之

    統計関連学会連合大会  ( 神戸 日本 )   2007.9 

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  • 一般化状態空間モデルにもとづく生体内パスウェイの統計的推測

    吉田 亮, 樋口 知之

    統計関連学会連合大会  ( 神戸 日本 )   2007.9 

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  • 大規模データ解析の現状と問題点

    樋口 知之

    統計関連学会連合大会  ( 神戸 日本 )   2007.9 

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  • データ同化:複雑システム理解の新しい道具

    樋口 知之, 中村 和幸

    日本行動計量学会  ( 京都 日本 )   2007.9 

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  • DIGDAG, a first algorithm to mine closed frequent embedded sub-DAGs International conference

    Termier A, Tamada Y, Numata K, Imoto S, Washio T

    Mining and Lerning with Graphs (MLG'07)  2007.8 

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  • Clustering with time course gene expression profiles and the mixture of state space models International conference

    Hirose O, Yoshida R, Yamaguchi R, Imoto S, Higuchi T

    The Seventh Annual International Workshop on Bioinformatics and Systems Biology  ( Tokyo Japan )   2007.7 

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  • Estimation of Sea Depth by Data Assililation with Tsunami Simulation Model International conference

    Nakamura K, Higuchi T, Hirose N

    2007 Joint Statistical Meetings  ( Salt Lake City U.S.A )   2007.7 

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  • 津波シミュレーションモデルと潮位データの同化におけるモデリングと解析

    中村 和幸, 樋口 知之, 広瀬 直毅

    第4回 人工知能学会 データマイニングと統計数理研究会  ( 旭川 日本 )   2007.7 

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  • Kullback-Leiblerカーネルの正規化スペクトル判別における特性

    石垣 司, 樋口 知之

    第4回 人工知能学会 データマイニングと統計数理研究会  ( 旭川 日本 )   2007.7 

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  • Data assimilation of global ENA data into a ring current model

    Nakano S, Ueno G, Ebihara Y, Fok M, Ohtani S, P. C. Brand, D. G. Mitchell, Keika K, Higuchi T

    第13回極域宙空圏シンポジウム  ( 東京 日本 )   2007.7 

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  • Quantitative modeling of the ring current using ENA data assimilation International conference

    Nakano S, Ueno G, Ebihara Y, Fok M, Ohtani S, P. C. Brand, D. G. Mitchell, Keika K, Higuchi T

    IUGG XXIV2007  2007.7 

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  • Ring current modeling with an algorithm based on the particle filter/smoother International conference

    Nakano S, Ueno G, Ebihara Y, Fok M, Ohtani S, P. C. Brandt, D. G. Mitchell, Keika K, Higuchi T

    IUGG XXIV2007  ( Perugia Italy )   2007.7 

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  • 動的個人モデルによる来店行動の解析

    佐藤 忠彦, 樋口 知之

    第81回日本マーケティング・サイエンス学会  ( 兵庫 日本 )   2007.6 

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  • 津波シミュレーションモデルにおける逐次データ同化手法適用による海底地形補正

    中村 和幸, 広瀬 直毅, 樋口 知之

    日本地球惑星科学連合2007年大会  ( 幕張 日本 )   2007.5 

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  • Relationship between the ring current structure and the electric potential distribution in the inner-magnetosphere deduced from data assimilation

    Nakano S, Ueno G, Ebihara Y, Fok M. C, Ohtani S, P. C. Brandt, D. G. Mitchell, Keika K, Higuchi T

    日本地球惑星科学連合2007年大会  ( 幕張 日本 )   2007.5 

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  • 逐次データ同化手法とその応用

    中野 慎也, 上野 玄太, 中村 和幸, 樋口 知之

    日本地球惑星科学連合2007年大会  ( 幕張 日本 )   2007.5 

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  • A particle filter with merging procedure for sequential data assimilation International conference

    Nakano S, Ueno G, Higuchi T

    EGU General Assembly 2007  ( Vienna, Austria )   2007.4 

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  • State estimation of an intermediate coupled model by the ensemble Kalman filter and smoother International conference

    Ueno G, Higuchi T, Kagimoto T, Hirose N

    EGU General Assembly 2007  ( Vienna, Austria )   2007.4 

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  • Merging particle filterによる状態推定 ?宇宙科学への応用?

    中野 慎也, 上野 玄太, 海老原 祐輔, M.-C.Fok, 大谷 晋一, P.C. Brandt, 樋口 知之

    統計関連学会連合大会  ( 京都市 日本 )   2001.9 

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Awards

  • 2021 Editor's Citation for excellence in refereeing of Radio Science

    2023.3   American Geophysical Union  

    Tomoyuki Higuchi

  • 第 15 回 日本統計学会出版賞

    2022   一般社団法人 日本統計学会   教養としてのデータサイエンス(データサイエンス入門シリーズ)講談社.

    北川 源四郎, 竹村 彰通, 内田 誠一, 川崎 能典, 孝忠 大輔, 佐久間 淳, 椎名 洋, 中川 裕志, 樋口 知之, 丸山 宏

  • 卓越した技能者(現代の名工)

    2020.11   厚生労働省   職種:データサイエンティスト

    樋口知之

Research Projects

  • Integration of a deep probabilistic model and an outlier detection method with an attention mechanism and its application to super-high dimensional time series data

    Grant number:23K28047  2023.4 - 2027.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)  Chuo University

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    Grant amount: \18330000 ( Direct Cost: \14100000 、 Indirect Cost: \4230000 )

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  • 注意機構を持つ異常値検知手法と深層確率モデルの統合と超高次元時系列データへの応用

    Grant number:23H03357  2023.4 - 2027.3

    日本学術振興会  科学研究費助成事業(科学研究費補助金)基盤研究(B)(一般)  基盤研究(B)(一般)  中央大学

    樋口知之, 大草孝介, 中村和幸

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  • 変分オートエンコーダと粒子フィルタの融合による状態空間モデリングの自動化

    2019.4 - 2023.3

    日本学術振興会  平成31年度科学研究費助成事業(科学研究費補助金)基盤研究(B)(一般) 

    樋口 知之

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  • 深層確率コンピューティング技術の研究開発

    2018.10 - 2023.3

    国立研究開発法人新エネルギー・産業技術総合開発機構  高効率・高速処理を可能とするAIチップ・次世代コンピューティングの技術開発  法人名: 国立研究開発法人理化学研究所 大学共同利用機関法人情報・システム研究機構 学校法人中央大学 国立研究開発法人産業技術総合研究所 国立大学法人京都大学

    泰地 真弘人, 福水 健次, 樋口 知之, 麻生 英樹, 鈴木 雅大など

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  • 統合的逐次データ同化による人工物システムの体系的オンラインモニタリング法の構築

    2016.7 - 2020.3

    文部科学省  科学研究補助金(基盤研究(B)(特設)) 

    樋口 知之

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \18200000 ( Direct Cost: \14000000 、 Indirect Cost: \4200000 )

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  • Exploration of nanostructure - property relationships for materials innovation

    Grant number:25106001  2013.6 - 2018.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)  Kyoto University

    TANAKA Isao, MATSUNAGA Katsuyuki, SHIBATA Naoya, MUTO Shunsuke, TANIGUCHI Takashi, OHTA Hiromichi, KITAOKA Satoshi, KANNO Ryoji, TAKAKUSAKI Satoru, TSUDA Koji, ADACHI Hirohiko, SAKUMA Taketo, TAKANO Mikio, MORI Hirotaro, HIGUCHI Tomoyuki

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    Grant amount: \28470000 ( Direct Cost: \21900000 、 Indirect Cost: \6570000 )

    This group mainly encouraged the collaboration between project members. This group organized international symposiums for publishing our studies, organized many small workshops for accelerating the communication between researchers with different backgrounds, published an international book of our research summary, and encouraged may activities of young researchers. In addition, this group supported the building of a web site and publication of a booklet.

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  • 次世代ものづくり技術の基盤たるエミュレータ・デザイン学創成に向けた数理戦略案

    2015.4 - 2017.3

    文部科学省  科学研究費補助金(挑戦的萌芽) 

    樋口 知之

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    Grant amount: \3510000 ( Direct Cost: \2700000 、 Indirect Cost: \810000 )

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  • Study on Nonlinear Filtering Method for Streaming Computing under Edge Heavy Data Environment

    Grant number:26280010  2014.4 - 2017.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)  The Institute of Statistical Mathematics

    HIGUCHI Tomoyuki

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    Grant amount: \15730000 ( Direct Cost: \12100000 、 Indirect Cost: \3630000 )

    Increasing the rate of occurrence, which is one factor of the significant increase in the amount of big data, is a product brought about by improved sensor technology and lower cost. The frequency of occurrence of data at the site that is a contact point with the real world of information systems is ever increasing. This phenomenon is also called an edge heavy data problem. It is not realistic to transport big data as it is to the cloud, and online computation according to purpose is essential on the spot. In this research, we aim to develop a method combining the excellent points of nonlinear filtering with different characteristics. As a result, we extend the applicability of stream computing technology in machine learning technique.

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  • Development of Systems Cancer Research by Computation and Simulation

    Grant number:22134004  2010.4 - 2015.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)  The University of Tokyo

    MIYANO SATORU, IMOTO Seiya, YAMAGUCHI Rui, SHIRAISHI Yuichi, TAMADA Yoshinori, SHIMAMURA Teppei, NAGASAKI Masao, HIGUCHI Tomoyuki, KAYANO Mitsunori, GOTOH Noriko

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    Grant amount: \207740000 ( Direct Cost: \159800000 、 Indirect Cost: \47940000 )

    We developed a new research area “systems cancer research” by fusing large-scale data analysis and mathematical modelling that made full use of mathematics and supercomputers. Methodologies for system cancer research were installed in each cancer study of the members. Methodologies and utilization of supercomputers innovated integrative studies among “wet” and “dry” laboratories. As a result, our comprehensive understanding of cancer systems advanced drastically. Our collaboration with Seishi Ogawa about myelodysplasia (MDS) showed for the first time in the world that the abnormality of the RNA splicing is the cause of MDS. This discovery that abnormal RNA splicing is a cause of cancer held a special place in the pages of cancer research history. Our collaboration with Takashi Takahashi discovered the prognostic hubs and subnetworks which switch survival/death of lung cancer patients.

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  • Research on advancement of computer-intensive methods for statistical estimations along with Graphical Processing Units and development of application software

    Grant number:23300108  2011.4 - 2014.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)  The Institute of Statistical Mathematics

    HIGUCHI Tomoyuki, NAKANO Shinya, NAGAO Hiromichi, SAITO Masaya

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \19760000 ( Direct Cost: \15200000 、 Indirect Cost: \4560000 )

    A Development of new algorithms for statistical computations needs careful and continuous attention to trends in the computational environments. Recently much interest is laid on making use of the CPU with multiple cores such as the multi-core processor and General Purpose computation on Graphical Processing Units (GPGPU). In this study the statistical algorithms that involve a huge number of a simple iterative calculation are designed to develop in aiming at its implementation on the massive parallel computer. Actually we study the statistical methods which runs on a special computational architecture having the multiple layers, each of which is the distributed parallel computer system. As a result, the massive parallel computation is expected to mitigate a difficult problem arising from the curse of dimension.

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  • Establishment of Statistical Estimation Principle for Super HighDimensional Data and Its Application to Large Scale Data Mining

    Grant number:22300054  2010 - 2012

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)  Osaka University

    WASHIO Takashi, HIGUCHI Tomoyuki, INOKUCHI Akihiro, KAWAHARA Yoshinobu, SHIMIZU Shohei, NAKANO Shinya

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    Grant amount: \17290000 ( Direct Cost: \13300000 、 Indirect Cost: \3990000 )

    Upon analysis of dimensionality curse, we characterized “hyper-sphere concentration effect”, “probability concentration effect” and “sparsity effect”of super high dimensional data, and proposed an accurate and robust estimation method against the former two effects.

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  • Research on information fusion methods for multiple genomic data sources with heterogeneity based on hierarchical statistical modeling

    Grant number:17200020  2005.4 - 2009.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)  The Institute of Statistical Mathematics

    HIGUCHI Tomoyuki, KAWASAKI Yoshinori, YOSHIDA Ryo, TAMADA Yoshinori, UENO Genta, SOMEYA Hiroshi, IMOTO Seiya, TERMIER Alexandre, ISHIGAKI Tsukasa

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \46800000 ( Direct Cost: \36000000 、 Indirect Cost: \10800000 )

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  • Development for Statistical Earthquake forecasting. Seismic and geodetic anomalies preceding the rupture around the focal region detected by statistical models

    Grant number:17200021  2005.4 - 2008.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)  The Institute of Statistical Mathematics

    OGATA Yosihiko, TANEMURA Masaharu, TAMURA Yoshiyasu, HIGUCHI Tomoyuki, SATO Seisho, TODA Shinji

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    Seismic quiescence and activation, as the precursors to large earthquakes, have attracted much attention among seismologists. Of particular interest is the hypothesis that the stress-changes transferred from a rupture or silent slip in one region can cause seismic changes in other regions. However, the clustering feature of earthquakes prevents us from detecting the seismicity change due to stress change transferred from other region because successive earthquakes are triggered by complex mechanisms under heterogeneous fractal media. Nevertheless, we can use the statistical empirical laws as a practical method for predicting earthquake clusters. Thus, the objective of this research is to demonstrate that diagnostic analysis based on fitting the Epidemic Type Aftershock Sequence (ETAS) model to regional seismicity can be helpful in detecting exogenous stress changes there. In particular, the changes due to silent slips are usually so slight that one can barely recognize systematic anomalies in seismicity without the aid of the ETAS model.
    The ordinary short-term occurrence rate of earthquakes in a region is well predicted using the ETAS model of triggering earthquakes. Any anomalous seismic activity, such as quiescence and activation, can be quantified by identifying significant deviation from the predicted rate. Thus we have successfully made a number of case studies. For example, such anomalies are revealed to have occurred during the three year period leading up to the 2004 Chuetsu Earthquake of Magnitude 6.8, central Japan. The quiescence and activation, which took place in the region of negative and positive increments of the Coulomb Failure Stress, respectively, were possibly caused by silent slip on the focal fault plane, or its deeper extension with a lower dip angle.
    Such slip is further supported by transient crustal movement around the rupture source. The time series records of many baseline distances between the permanent GPS stations significantly deviated from the predicted linear trends, mostly with the deviations consistent with the coseismic horizontal displacements of the GPS stations due to the Chuetsu Earthquake. Furthermore, a deeper extension of the mainshock fault plane, with a lower dip angle, can explain the more cases of the observed baseline deviations in comparison with the theoretical displacement. The cumulated precursory slip is estimated to be roughly equivalent to M6in the moment magnitude.

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  • On solution and research into a statistical problem in the water quality monitoring and modeling

    Grant number:15300097  2003.4 - 2006.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)  The Institute of Statistical Mathematics

    KANEFUJI Koji, IWASE Kousei, OKADA Mitsumasa, FUJIE Kouichi, HIGUCHI Tomoyuki, KAWASAKI Yoshinori

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid)  Grant type:Competitive

    Environmental problems are familiar problems and it is important as the system of the entire earth. However, a lot of current states to which the rule, the standard, and the law concerning various environments are decided by an unscientific judgment because of the interest of the region and the country are seen. A statistical science has the responsibility that should contribute to the solution of environmental problems by constructing a scientific methodology that is appropriate for an individual field based on the above-mentioned current state. In this research, the water environment is paid to attention in environmental problems, it discusses, some of the theme in which a statistical science should deeply take part are examined with the environmental scientist, the problem is arranged based on the viewpoint of a statistical science, and an interdisciplinary research for the problem solving has been promoted. Concretely, it has chiefly grappled with the following three problems.
    ・Evaluation and modeling of water quality monitor
    ・Statistical evaluation concerning rapid chronic toxicity value
    ・Formation of partnership of statistical science and environmental science
    The Institute of statistical mathematics was assumed sponsoring to form, and a new ISM symposium "A new bridge between statistical science and environmental science" were held. Workshop "Environmental Correctives and Measures for Sustaining Ecological Conditions" was held.

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  • 超高次元時系列における予測および情報抽出の方法

    Grant number:14380127  2002.4 - 2006.3

    文部科学省  科学研究費補助金(基盤研究(B))  基盤研究(B)  統計数理研究所->文部科学省統計数理研究所->統計数理研究所

    北川源四郎, 川崎能典, 樋口知之, 田村義保, 小西貞則, 佐藤整尚

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid)  Grant type:Competitive

    地球科学,経済・ファイナンス・マーケティング,生命科学,環境科学などの分野では時々刻々,大量のデータが取得されつつある.本研究はこのような大量データから有用な情報を抽出するための基本的方法としての超多次元時系列モデルの計算法および多変量時系列を用いた多変量間の因果分析法と実データヘの応用に関する研究を行った.
    主な成果は以下のとおりである.
    1.超多次元ARモデルの推定法の開発
    前向きおよび後向きの予測誤差系列の分散共分散行列を用いて超多次元ARモデルを効率よく推定する方法を研究し,並列計算機に適したアルゴリズムおよびプログラムを開発した.
    2.高次元状態空間モデルのフィルタリングの研究
    超高次元時系列に適用可能な状態空間モデルのフィルタリングのための実用的アルゴリズムの開発のために,近似計算法,情報行列型,平方根型,イノベーション型などの計算法の研究を行った.また,非線形・非ガウス型への拡張のために,ガウス和近似を高速に行う新しい方法を開発した.
    3.多数のモンテカルロフィルタを並列に実行することによって,比較的少ない粒子数で精度よく分布を計算できる並列モンテカルロフィルタを開発し,数値実験を行った.その結果,並列度を上げることによって,粒子数増加と同等以上の精度が得られ,しかも並列化の効果も高いことが分かった.
    4.実世界の問題への適用
    (1)多次元ARモデルを用いてパワ...

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  • Comprehensive study for statistical prediction of seismic activity

    Grant number:14380128  2002.4 - 2005.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)  The Institute of Statistical Mathematics

    OGATA Yosihiko, TANEMURA Masaharu, HIGUCHI Tomoyuki, SATO Seisho

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid)  Grant type:Competitive

    One important outcome emerging from this study is the use of statistical models as diagnostic tools to identify anomalous trends and other features of the seismicity pattern. The ETAS model itself is an extremely useful tool in detecting anomalous features in seismic activity, including aftershock activity, and in identifying and defining seismic quiescence. The results of comparing the actual seismicity rates with the rates predicted by the ETAS model have very interesting implications for the physical interpretation of the processes controlling the evolution of seismicity. The connections between seismicity rate changes and coseismic stress changes have been emphasized and discussed in several important recent publications. In particular, it is worth noting that the relative quiescence defined in relation to the ETAS model represents the best currently available definition and physical interpretation of the "stress shadow". In other words, this represents the most robust definition the stress shadow and the proposed numerical approach is the best solution to identify seismicity rate reductions. This has been recognized by the scientific community.
    We have proposed the Hierarchical Space-Time ETAS model that is extended for applying space-time coordinates of earthquake catalogs. Regional earthquake occurrence rate is modeled as a function of previous activity whose specific form is based on empirical laws such as the modified Omori formula and the Utsu-Seki scaling law of aftershock area against magnitude. Its parameters, including the p-value of the aftershock decay rate, can vary from place to place. This model is used to visualize features of the regional seismic activities in and around Japan. Among the five parameters of the model, the spatial variation of the K-parameter (the productivity of aftershocks) can be well correlated with asperity locations. Furthermore, the model enables us to enhance the regions where the actual occurrence rates deviate systematically from the modeled one. In particular, the relative quiescence or the seismic gap of the second type is of great concern. Also, the incidental outcomes of our research include the stochastc clustering / declustering procedure by the space-time ETAS model, which enables another diagnostic tool to examine the adequacy of a space-time model when we are given a dataset.

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  • Research on an integration methodology for combining many competing models with a dynamical mixing and/or switching

    Grant number:14208025  2002.4 - 2005.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)  The Institute of Statistical Mathematics

    HIGUCHI Tomoyuki, KITAGAWA Genshiro, TAMURA Yoshiyasu, SATO Seisho, KAWASAKI Yoshinori, KAWANO Hideaki

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \35490000 ( Direct Cost: \27300000 、 Indirect Cost: \8190000 )

    We studied an integration method of the empirical Bayesian and pseudo-Bayesian procedures and concentrated on developing information criteria to choose the best meta-model each of which is built up by combining many competing models to enhance a performance on the predictive ability. We made an effort to develop the new methods for resampling procedures in a framework of the sequential Monte Carlo methods that has drawn many interests in Bayesian computation. A theoretical work has been also studied by investigating the similarities in algorithms between the model averaging approach and boosting in Artificial Intelligence community. We considered an application of the procedures in which a mixing and/or switching mechanisms of many competing models plays an important role in boosting the predictive ability as well as the flexibility while keeping the robustness. As for the concrete examples of application, we have conducted the research projects on an automatic transaction of signals obtained by the artificial satellites, an analysis of high-frequent financial data, automatic target tracking and recognition for vision and sensor fusion technique, analysis of Point of Sales (POS) data, and time-dependent inversion from GPS network data. We confirmed an effectiveness of the proposed algorithms for an automatic creation of models by applying this methodology to real world problems, and attacked the new challenging problems in response to the social demand. In particular, we developed the new analysis technique for DNA array data that measures the expression level of thousands of genes in a single experiment in genome science. In the analysis of DNA array data, we are faced with difficulties most of which arise from the fact such that while the number of cases (sample size) is at most 100, a dimension of the feature vector (number of genes) ranges from several thousands up to a few ten thousands. It is therefore impossible to apply the conventional clustering methods, because of over-learning. To overcome such difficulty, we developed a novel clustering method, and provided a software called ArrayCluster which can be downloaded at http://www.ism.ac.jp/〜higuchi/arraycluster.htm. We organized an international symposium on advancement in the statistical modeling methodology, "Science of Modeling : The 30^<th> Anniversary of the Information Criterion (AIC2003)" for promoting the Science of Modeling.

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  • Development of Time Series Analysis Software Based on State-Space Modeling

    Grant number:13558025  2001.4 - 2005.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)  The Institute of Statistical Mathematics

    KITAGAWA Genshiro, TAMURA Yoshiyasu, HIGUCHI Tomoyuki, SATO Seisho, KAWASAKI Yoshinori

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid)  Grant type:Competitive

    By using the state-space model, most of the familiar time series models can be treated. It also provides efficient recursive filtering algorithm for state estimation, prediction, smoothing and parameter estimation based on the likelihood. In this project research, we developed a time series analysis software based on this state-space approach. Further, we developed a Web-version of the softwares and applied the method to various real-world problems. The major outcomes are as follows:
    1. Development of filtering and parameter estimation method.
    We refined the algorithms of the Monte Carlo filter and the Gaussian-sum filter for efficient computation of conditional state distributions. We also developed parallel algorithm for computing estimation of the state and some algorithms for simultaneous estimation of the state and the unknown parameters.
    2. We developed generic softwares for Monte Carlo filtering and self-organizing filter. Specific application softwares were also developed for trend estimation, estimation of stochastic volatility, trend and volatility model and power contribution analysis. Web-software for the application software on user's Web site without installing these softwares.
    3. The developed methods and softwares were applied to various real-world problems such as the seismology, earth-magnetography, finance, macro-economics, marketing, human behavior, ship engineering, and various other complex systems and obtained useful results in prediction, control and knowledge discovery.

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  • Development of Knowledge Discovery Systems by using the Hierarchical Bayesian Time Series Models

    Grant number:12558023  2000.4 - 2004.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)  The Institute of Statistical Mathematics

    HIGUCHI Tomoyuki, SATO Seisho, TAMURA Yoshiyasu, KITAGAWA Genshiro, SHIMODAIRA Hidetoshi, KAWASAKI Yoshinori

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \9500000 ( Direct Cost: \9500000 )

    In this project, we dealt with a removal of the artificial noises that is a stumbling block in the effort to perform an automatic procedure for knowledge discovery from a large-scale time series data. More specifically, we focused on the problems to exclude a rapid change in a trend (background mean) due to changes in sensitivity of the observation instruments, and to identify an outlier. The self-organizing state space model which belongs to the hierarchical Bayesian model has been employed to solve these problems. It is capable of estimating the trend component even if the noise component in a time series shows a time-dependent structure ; ex., its variance depends on time. The program that we developed allows us to detect the tune-dependent mean structure automatically for a large-scale time series datasets. We hope this program will open a door for us to re-analyze huge accumulated dataset that has not been examined in detail owing to an apparent signal contamination by various noises. We have already post this program with an explanation for usage on Web.
    http://tswww.ism.ac.jp/higuchi/index e/Soft/index.htm

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  • Research on the Methodology of Information Extraction and Knowledge Discovery Based on Statistical Time Seeries Modeling

    Grant number:12680321  2000.4 - 2002.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)  THE INSTITUTE OF STATISTICAL MATHEMATICS

    KITAGAWA Genshiro, KAWASAKI Yoshinori, HIGUCHI Tomoyuki, TAMURA Yoshiyasu, SATO Seisho

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid)  Grant type:Competitive

    Research upon this grant has been concerned in the following four fields ; (1) new methodologies in statistical modeling, (2) knowledge discovery based on statistical modeling, (3) application to actual data analysis and (4) software development. As for (1), resampling scheme in Monte Carlo filter is improved to stabilize the automatic model estimation via self-organizing state-space model. Also, several new method are tried to alleviate numerical diffculties often encountered in estimation of fixed parameters. (2) New algorithm for estimating Bayesian network is proposed which is designed for cDNA micro array data analysis. Minute by minute stock index data is analyzed by time series models, principal component analysis and cluster analysis to explore the calendar effect. (3) Based on multivariate time series model for ocean bottom seismograph data, an approximate space-time smoothing algorithm is proposed to estimate underground structure. Large-scale field-aligned currents are exhaustively analyzed, and automatic identification procedure is proposed. (4) Programs to estimate univariate and multivariate AR models are parallelized. This was done by the parallelization of Householder transformation. Filtering and smoothing algorithm for general state-space models is also implemented only on an experimental basis.

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  • Research on a systematic analysis of information on GPS array data

    Grant number:12680322  2000.4 - 2002.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)  The Institute of Statistical Mathematics

    HIGUCHI Tomoyuki, SATO Seisho

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \1400000 ( Direct Cost: \1400000 )

    We analyzed GPS data at 1,000 stations covering all over Japan for two years frorn 1996 through 1997. Specifically, an detailed investigation on data sets in terrns of data quality limited us to use 614 data points among them. We performed a Bayesian smoothing procedure in time-spatial domain which allows us to extract the mean structure automatically, and tried to model the mean structure based on the result obtained. Actually, we applied the non-parametric smoothing based on the Bayesian approach and conducted the residual analysis alternatively in each of time- and spatial domains. Finally we decomposed the variations of GPS data for each station into three components : time-dependent, spatial-dependent, and other components. We presented the result at the international meeting, and obtain the positive response from the attendants.

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  • Research on the stability and robustness of seasonal adjustment procedure

    Grant number:11695024  1999.4 - 2002.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)  THE INSTITUTE OF STATISTICAL MATHEMATICS

    TAMURA Yoshiyasu, KAWASAKI Yoshinori, HIGUCHI Tomoyuki, KITAGAWA Genshiro, TAKIZAWA Yumi, SATO Seisho

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid)  Grant type:Competitive

    General state-space models are applied to various types of problems in seasonal adj ustment. Especially, Monte Carlo filter, smoothing and self-organizing state-space model are found to be useful for stable and robust treatment of statistical seasonal adjustment. To put it precisely, new methods are developed for multiplicative type non-linear seasonal adjustment, for seasonal adjustment in small count data, and for automatic outlier detection in seasonal adjustment. Furthermore, model averaging type seasonal adjustment has been explored. In other words, we do not confine the seasonal model to a specific one but consider and monitor all the possible seasonal models, and realize prediction by weighting these models. On the other hand, as a generalization of time serics problem, removing intraday periodicity in high frequent financial data is considered via point process modeling by conditional intensity approach. It is shown that commonly employed method that use spline smoothing to estimate time-of-day function does not completely remove such intraday periodicity. In the final year of this research grant, an intemational symposium on statistical seasonal adjustment was held in Tokyo under the title 'Modeling Seasonality and Periodicity' on January 3 1 and February I, which ended in a great success. Newly developed software E-Decomp was released and distributed to the conference participants on free CD-ROM.

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  • Construction of space-time statistical models for seismicity and stress changes

    Grant number:11680334  1999.4 - 2002.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)  The Institute of Statistical Mathematics

    OGATA Yosihiko, SATO Seisho, HIGUCHI Tomoyuki, TANEMURA Masaharu

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid)  Grant type:Competitive

    (1) Increased probability of large earthquakes near aftershock reions with relative quiescence By appiyin the ETAS model, aftershock sequences in Japau during the last century are descriminated whether they decayed normally or changed to become quiet relative to the model Then it is shown that the reiative quiescence is a helpful factor to forecast whether or not a large event is more likely to follow within 6 years in the neighborhood (say, within a distance of 200km) of the initial event.
    (2) Bayesian hierchical spaee-time ETAS model and detection of relative quiescence
    A space-time point-process model is specified in which earthquake intenshy is mqdeiled as a functlon of previous activity where the parameters are further considered to be functions ofspatial locations (but not time) represented by tinear interpolation over a tessellation based on observed locations of earthquakes. We detect the temporal deviation of the actual seisrnicity rate from that of the modeiled occurrence rate. Thus we showed a number of zones where temporal deviation from the fitted model, with quiet periods, occurred before latge earthquakes.
    (3) Qualitative study on the relation between the relative quiescence and precursory aseismic slip We have shown a number of examples such that, assuming aseismic siip within a fault of forthcoming large event, subregions where aftershocks indicate the relative qLLiescence correspond to the shadow of the Coulomb stress changes.
    (2) Other results
    (A) The maximum likelihood procedure for the Vere-Jones' trigger model is impiemeted to for expioratory analysis of earthquake clusters. (B)'The stochastic declustering aigorithm is proposed and demonstrated by using the space-time ETAS modeis. (C) We demonstrated statistical confirmation of a relationship between excitation of the low-frequency electric fietd and magnitude M>=4 earthquakes in a 300km radius region around Beij ing, by making use of the Lin-Lin point process model. (D) Aftershock sequence of acoustic emissions is successfully modelled to detect the causal relationship with earth-tide stress.

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  • 超大規模時空間データセットの全探索のためのモデルの開発とその実装

    Grant number:10780155  1998.4 - 2000.3

    文部科学省  科学研究費補助金(奨励研究(A))  奨励研究(A)  統計数理研究所

    樋口知之

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \1700000 ( Direct Cost: \1700000 )

    電流系は経度方向にシート状の構造をもつので、もともと3次元の磁場データをうまく座標変換を行うと、ある一成分のみに区分的に直線と近似できる空間系列となる変動磁場が表出してくる。この知見を数値的に表すために、主成分分析的なアイデアと、大規模電流系に関連する3次元磁場データを適切かつ柔軟に表現できるモデルを組み合わせた新しい手法を開発した。すでに発見されている4例のイベントをサンプルとして、電流系同定のための素モデルの開発を始めた。ある程度モデルの柔軟性が確認できたので、データ解析例を100程度まで増やし、バッチジョブ的な手続きを行なうためのマクロプログラムの開発を行なった。100程度のデータ適用に問題がなかったので、次に5年分のデータセットすべて解析するプロジェクトに取り掛かった。これらの解析結果を効率良く編集してモデルのデータへの適合性を判断するために必要な可視化を中心としたプログラムの開発も同時に進行させた。最終的な結果をアメリカ地球物理連合学会秋季大会において発表し、新しい拡張性を期待させる十分意義のあるものとの評価をえた。

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  • 状態空間モデルのパラメ-タ推定法とその応用に関する研究

    Grant number:09680318  1997.4 - 1999.3

    文部科学省  科学研究費補助金(基盤研究(C))  基盤研究(C)  統計数理研究所

    北川源四郎, 川崎能典, 樋口知之

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid)  Grant type:Competitive

    時系列解析の分野では状態空間モデルを用いた統一的なモデル構成法が積極的に利用されているが,最近はさまざま重要な問題と関連して非線形・非ガウス型の時系列モデルの必要性が認識されている.非線形・非ガウス型の状態空間モデルに対してはカルマンフィルタでは精確な状態の分布は得られないので,より一般のモデルにも適用可能なフィルタリングおよび平滑化のアルゴリズムの研究が盛んになってきた.これに関連し,研究代表者は1987年に非ガウス型平滑化の方法を開発したが,最近になって高次元のシステムにも適用できるモンテカルロ・フィルタを提案した.本研究ではこの方法を応用して,状態とパラメ-タを同時推定する自己組織型のモデリングの方法の研究を行った.
    研究成果報告書に採録した[1]Kitagawaは非線形・非ガウス型状態空間モデルの状態推定,パラメ-タ推定,自己組織型モデルによる同時推定の方法とその応用をまとめたものである.[2]Kawasaki et al.では観測値の次元が状態空間の次元よりも遥かに高い場合に生じる,パラメ-タ推定の困難を解決する方法を提案した。[3]Higuchiでは非ガウス型状態空間モデルに基づく少数計数デ-タの季節調整法を提案した。[4]北川では,自己組織化の方法をさらに発展させ,ノイズの分布をパラメトリックに与えなくても,フィルタリングの結果得られるイノベ-ション系列から,ノ...

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  • Research on Seasonal Adjustment of Economic Time Series

    Grant number:08045018  1996.4 - 1999.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for international Scientific Research  The Institute of Statistical Mathematics

    KITAGAWA Genshiro, KAWASAKI Yoshinori, HIGUCHI Tomoyuki, TAMURA Yoshiyasu, ISHIGURO Makio, OZAKI Tohru

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid)  Grant type:Competitive

    The objective of this research was to render the theoretical considerations to the various problems in statistical seasonal adjustment, and to develop new methods based on the state-of-art techniques in modern time series analysis. The summary of our research report follows.
    (1)Development of new procedures
    Seasonal adjustment methods based on Monte Carlo filter and smoother, and on dynamical system approach were proposed. Dynamic X-11 model successfully gives explicit model form to X-11, which is defined in an essentially non-parametric way. Monte Carlo filter/smoother deals with higher-dimensional seasonal adjustment problem allowing non-linearity and non-Gaussianity, which was next to impossible by the existing statistical methods. Thsi method was applied to the seasonal adjustment of small count data which seemingly contains quasi-periodic components.
    (2)Enhancement and characterization of seasonal models
    Macroeconomic system was estimated based on the multivariate seasonal adjustment. These kind of composite seasonal adjustment could be more important in the near future. Extension of seasonal models to time-space data was also considered. Finally, the research on the characterization of linear Gaussian model based seasonal adjustment was done in terms of the optimality of seasonal adjustment. Comparative study between DECOMP and X-12 ARTMA was also performed through simulations.
    (3)Software development
    The most successfull software product is Web-DECOMP.Users are free from instaling softwares on local disks or free from recompilation of software codes, but they simply can execute seasonal adjustment program DECOMP through internet browsers. On the other hands, U.S.Bureau of the Census almost completed their new version of software, X-12-ARIMA.The most updated version and its documentation (but not the official release yet at present) can be downloaded via their ftp site (ftp.census.gov).

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  • Research on Systemization of Time Series Analysis Software

    Grant number:08558021  1996 - 1998

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)  The Institute of Statistical Mathematics

    KITAGAWA Genshiro, SATO Seisyo, KAWASAKI Yoshinori, HIGUCHI Tomoyuki, TAMURA Yoshiyasu, ISHIGURO Makio

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid)  Grant type:Competitive

    The objective of the research was, based on the recent progress of computer capabilities, to systemize the environment for advanced time series analysis with various models, algorithms, computational methods and softwares. For this purpose, we performed the followings :
    (1)Development of Generic Time Series Model and Related Computational Methods.
    We developed a time series analysis method based on general state space model which can be applied to very wide class of nonstationary nonlinear or non-Gaussian time series models. We published many papers related to this subjects.
    (2)Research on New Information Criteria
    We investigated new information criteria EIC and GIC.EIC is based on bootstrap bias correction for the log-likelihood, On the other hand, GIG evaluates the bias for any estimators defined by statistical functionals, By these two information criteria, it becomes possible to evaluate and compare models whose parameter are estiamted by various methods. Further, we refined the bias correction by GIC and developed a improved version of the generalized information criterion.
    (3)Development of Interfaces for Organization of Softwares
    Recent development of computer networks such as internet makes it easy to distribute or access to newly developed time series analysis softwares, In this research, Sato developed a unified method based on the Web. In this method, since all of the computations are performed within the server computer, user can always use these sofiwared only if they have access to internet and brouwser, In this research, he forcus on the seasonal adjustment program DECOMP, On the other hand, Ishiguro developed a software for the analysis of multivariate system based on multivariate AR model.

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  • 自己組織型時系列フィルタの研究

    Grant number:08680338  1996.4 - 1997.3

    文部科学省  科学研究費補助金(基盤研究(C))  基盤研究(C)  統計数理研究所

    北川源四郎, 川崎能典, 樋口知之

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid)  Grant type:Competitive

    1. 本研究の基礎となるモンテカルロフィルタの近似誤差,収束性などの基本的性質に関する研究を行なった.その結果,粒子数と近似精度の関係があきらかとなった.この研究の過程ですべての粒子が事後分布の平均に確率1で収束する事後平均フィルタのアルゴリズムが得られた.また,従来のモンテカルロアルゴリズムの予測・フィルタの2段階を棄却法で実現する新しいアルゴリズムについても検討を行った.
    2. 非線形状態空間モデルの状態ベクトルに未知パラメ-タを付加することにより,状態ベクトルと未知パラメ-タを同時に推定する自己組織型のアルゴリズムの研究を行った.その結果,外乱の分散パラメ-タばかりでなく,システムの動特性を規定する係数パラメ-タについても適用可能であることが判明した.
    3. 自己組織型フィルタを経済デ-タおよび地球科学デ-タに応用する研究を行った.経済デ-タに関しては分散変動モデル,季節調整モデルの自動推定への応用を行った.地球科学デ-タに関しては信号系列の分散を同時推定することにより,外乱中の微小地震の信号波形を抽出することが可能となった.
    4. この方法では,より簡単な場合であるパラメ-タが時間変化せず一定の場合には,この方法はかえって数値的な問題を起こすことがわかった.したがって,このような場合に特化した数値的に安定名アルゴリズムを開発することが今後の課題として残された.

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  • 電場・磁場デ-タにもとづくエネルギ-束の同定

    Grant number:07780211  1995.4 - 1996.3

    文部科学省  科学研究費補助金(奨励研究(A))  奨励研究(A)  統計数理研究所

    樋口知之

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \900000 ( Direct Cost: \900000 )

    太陽風内の磁場が地球の磁気圏と相互作用する境界領域は、磁場はもちろん、電場、プラズマ密度、モ-メント、エネルギ-などの物理量に対して電磁場物理法則から導かれる拘束条件(Maxwell則)が存在する。従来は、デ-タの取り扱い安さから磁気デ-タに対する拘束条件をのみ利用して境界領域の空間的同定がなされてきた。本研究では、上述したすべての物理量に対する拘束条件を明示的にデ-タ解析の枠組みにモデルとして取り込む手法を提案した(雑誌Annals of Geophysicaeに投稿中)。この手法においては、デ-タから太陽風の速度も、現実に利用可能な物理量を組み合わせることを通した統計的解析により推定することができるという点で従来の方法から大きく進歩している。この手法はきわめて一般性の高い枠組みであるが、現時点において取得・解析可能なデ-タは、磁場・電場の両者に限られる場合も多いことを考慮し、一般にデ-タ解析がなされる現場の状況を反映した具体的・現実的なアルゴリズムもあわせて提案した。モデルをデ-タを通して考察するという思想を実体化するために、この10年継続して研究しているベイズ統計周辺で確立された、あるいは最新の技法を十分に活用した。例えば、磁場デ-タと比較して観測ノイズの影響がきわめて大きいがために丁寧に取り扱われてこなかった電場デ-タからも、磁場デ-タと同時に適切に取り扱うことにより...

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  • Research on Nemerical Methods in Time Series Analysis

    Grant number:06680295  1994.4 - 1996.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for General Scientific Research (C)  The Institute of Statistical Mathematics

    KITAGAWA Genshiro, JIANG Xing-qi, KAWASAKI Yoshinori, HIGUCHI Tomoyuki

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid)  Grant type:Competitive

    Nonlinear non-Gaussian state space model based time series analysis method was investigated. In particular, Monte Carlo filter and smoother for the state estimation of the nonlinear non-Gaussian state space model was developed. As a result of this research, it became possible to model high-dimensional nonlinear non-Gaussian systems. We also developes a Monte Carlo posterior mean smoother in which almost all particles converge to the mean value of the marginal posterior distribution. These newly developed methods were successfully applied to the development of new statistical analysis method, such as the seasonal adjustment of economic time series, analysis of quasi-periodic motion of data obtained from a satelite and the analysis of a count data.
    Taking into account of the similarity between Monte Carlo filter and Genetic Algorithm, Higuchi developed a new algorithm for filtering nonlinear non-Gaussian state space model.
    During the course of this research, a new clew for further deveropment was obtained. In the state space modeling, we used to apply numerical optimization method to estimate the parameters of the model. In this method, evaluation of the likelihoods for many times was required and it sometimes make the estimation very difficult.
    In view of the fact that our Monte Carlo filter can be applied to high-dimensional nonlinear system, we augmented the state vector with the unknown parameter. With this modification of the state vector it now became possible to estimate the unknown state and the parameter of the model simultaneously. Based on this idea we were lead to develop a self-tuning time series model which has an ability to adjust its unknown parameters automatically.

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  • 確率微分方程式を用いた地下水中のラドン濃度の時系列デ-タ解析

    Grant number:06780220  1994.4 - 1995.3

    文部科学省  科学研究費補助金(奨励研究(A))  奨励研究(A)  統計数理研究所

    樋口知之

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \900000 ( Direct Cost: \900000 )

    測定装置内の物理現象を表現する確率微分方程式を、状態空間表示することで連続型カルマンフィルタのアルゴリズムを適用した。もともとの確率微分方程式は線形であるが、その係数が温度の非線形関数となっているため、そのままの形で解くことができない。本研究では、非常に短い時間間隔(微小時間幅)内は温度は一定という仮定を行い、解くべき方程式を完全に線形にする工夫を行った。本研究では微小時間を1分とした。ただ水温は1時間毎しか計測されないので、水温デ-タ内挿の処理が必要になった。もともと測定装置の周りの気温は制御されているため1時間内で大きい変化が生じることはなく、この内挿処理は現実離れしたものではない。
    これらの仮定のもとにプログラムを開発し、ワ-クステ-ションに実装する作業を次に行った。始めは、以前獲得された典型的な地震活動前後の気層中ラドン濃度から類推された地下水中のラドン濃度のパタ-ンを入力とした、シミュレ-ション観測デ-タ(つまり気層中ラドン濃度デ-タ)を作製し、それに本研究で開発したソフトウェアを適用してみた。気層中ラドン濃度から、逆に推定された地下水中ラドン濃度が、入力デ-タとどの程度一致するのかを検討した。得られた結果はきわめて満足のいくものであり、本研究で開発したシステムが有効であることが確認できた。
    この後、実際の観測デ-タを開発したソフトウェアで解析した。推定されたラドン...

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  • ノイズの強い影響下での時変周波数および時変振幅の性質をもった波信号のベイズ推定

    Grant number:05780215  1993.4 - 1994.3

    文部科学省  科学研究費補助金(奨励研究(A))  奨励研究(A)  統計数理研究所

    樋口知之

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \900000 ( Direct Cost: \900000 )

    適用を想定しているデ-タの時変周波数・振幅の特性を理想化したシュミレ-ションデ-タを作成し、このデ-タに対して、非線形・非ガウスモデルに従来使わされてきた拡張カルマンフィルタ-が実用可能かどうかを探った。多数の数値実験により、この方法による限界が明らかとなった。次に、非線形・非ガウス時系列ベイズモデルの表現方法のひとつである状態空間表現において、比較的高次元の状態ベクトルの推定方法の解法として最近提案されたモンテカルロフィルタ-(以後MCFと略す)法の適用可能性を探った。MCFは、確率変数の分布を解析関数で近似する従来の方法から、より複雑な対象に対してシンプルに記述をめざす、数値的に分布を記述する方向の近年の流れを受けたものである。従ってアルゴリズムはきわめて簡単であるが、計算機上の計算量はきわめて多い。また、萌芽的研究であるので、数値計算誤差をどの様に見積っていくかがまだ定まってはいない。よって、MCFにもとづいた解法を提案するために必要とされる基礎的な数値実験をかなり行った。例えば、モデルの同定に重要な働きをする尤度(あるいはAIC)の計算に伴う数値誤差の見積りを充分に行った。これらの基礎数値実験をへて、まずシミュレ-ションデ-タにたいしてMCFを適用し、観測ノイズが大きいために、時変ARモデルによるスペクトル推定が困難な場合にも、時変の周波数および振幅値をほぼ正しく推定...

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  • Research on Integrated Time Series Analysis Softwares

    Grant number:63830002  1988.4 - 1991.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Developmental Scientific Research (B).  The Institute of Statistical Mathematics

    KITAGAWA Genshiro, HIGUCHI Tomoyuki, IBA Yukito, SAKAMOTO Yoshiyuki, TAMURA Yoshiyasu

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    Authorship:Collaborating Investigator(s) (not designated on Grant-in-Aid)  Grant type:Competitive

    By the research in the previous fiscal years, we have developed a recursive filtering and smoothing algorithms for a general state space model which can be applied to diverse fields of time series modeling.
    Based on these results, in this year, we tested the developed program on various real data sets and made necessary modifications. We also did research on developing new models and more efficient algorithms. As a result of this research, based on the non-Gaussian state space model, a unified method fr analyzing time series with various characters such as the non-linearity, non-stationarity, non-Gaussianity, outliers and missing observations has been established. We also did research on the graphical display of the results of time series analysis and developed various programs for that purpose. In particular, by using the CALCOMP graphic libraries it becomes possible to use the graphical programs on various kinds of computers including mainframes and personal computers.
    As mentioned above, in this research a statistical model for handling time series with various character and a softrware for implementing the approach have been developed. Therefore, we believe that the most part of our purpose of this research has been achieved. However, more research is required to develop a user-friendly practical software.
    The papers and other publications produced concerning this research have been included in the report of this research project. A manual for the developed software is also available.

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Intellectual property rights

  • 情報処理装置、情報処理方法、及びプログラム

    石曽根 毅

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    Application no:特願2022-044722  Date applied:2022.3.18

    Announcement no:特開2023-138169  Date announced:2023.9.29

    Applicant (Organization):学校法人中央大学

Committee Memberships

  • 2019.4 - Now

    Association of Data Scientists   Director  

  • 2017.8 - Now

    HPCI (High Performance Computing Infrastructure) Planning Promotion Committee, MEXT   Working Group Committee Member for Next-Generation Hardware Utilization and Promotion of New Issues  

  • 2010.9 - Now

    Japan Statistical Society   Delegate  

  • 2023.10 - 2029.9

    日本学術会議   日本学術会議連携会員(数理科学)(情報学)  

  • 2025.4 - 2027.3

    一般社団法人統計関連学会連合   監事  

  • 2024.4 - 2026.3

    大学共同利用機関法人人間文化研究機構   人間文化研究機構外部評価委員会委員  

  • 2020.6 - 2026.3

    “Innovation and Creation of Sciences through the Use of AI” Research Area, Act-X, JST   Advisor  

  • 2018.7 - 2025.9

    公益財団法人セコム科学技術振興財団   特定領域研究助成の研究課題選考員  

  • 2023.7 - 2025.6

    一般財団法人 統計質保証推進協会   統計質保証推進協会統計検定センター センター長  

  • 2023.6 - 2025.6

    Japan Statistical Society   Supervisor  

  • 2024.4 - 2025.3

    文部科学省   情報科学を活用した地震調査研究プロジェクト(STAR-Eプロジェクト)事業運営統括  

  • 2023.6 - 2025.3

    "Creating Innovative Measurement and Analysis Systems Aiming to Solve Social Issues" Research Area, CREST, Japan Science and Technology Agency (JST)   Advisor  

  • 2023.6 - 2025.3

    "Establishing the Solid Foundation for Innovative Measurement and Analysis Process" Research Area, PRESTO, Japan Science and Technology Agency (JST)   Advisor  

  • 2020.2 - 2025.3

    Japan Agency for Marine-Earth Science and Technology   Member of the Evaluation and Advisory Committee, Value-Added Information Creation Division  

  • 2020.1 - 2024.12

    Academia Sinica (Taiwan)   Academic Advisory Committee (AAC) of the Institute of Statistical Science  

  • 2021.4 - 2024.9

    Hakubi Center, Kyoto University   Committee member, Hakuraku Conference  

  • 2023.3 - 2024.3

    公立大学法人横浜市立大学   WiDS TOKYO @ Yokohama City University シンポジウムライトニングトーク・セッション審査委員  

  • 2022.4 - 2024.3

    Japan Society of Applied Statistics   Council Member  

  • 2021.9 - 2024.3

    Earthquake Research Project Using Information Science (STAR-E), MEXT   Member of the Adoption Review Committee  

  • 2020.12 - 2024.3

    Cabinet Office   Members of the “Human-centered AI Social Principles Review Conference”, Science, Technology and Innovation  

  • 2018.3 - 2024.3

    New Energy and Industrial Technology Development Organization (NEDO) supported by Ministry of Economy, Trade and Industry (MITI)   Project leader of “Development of integration technology as the core of next-generation artificial intelligence and robots”  

  • 2016.6 - 2024.3

    JST   Advisor, “Development and application of intelligent measurement and analysis methods by combining measurement technology and advanced information processing” Research Area, CREST & PRESTO (CREST: Core Research for Evolutional Science and Technology)  

  • 2023.11    

    京都大学大学院情報学研究科   京都大学大学院情報学研究科アドバイザリーボード委員  

  • 2018.4 - 2023.6

    Japanese Association for Promoting Quality Assurance in Statistics   Planning Committee  

  • 2021.6 - 2023.5

    Japan Statistical Society   President  

  • 2021.4 - 2023.4

    Japanese Federation of Statistical Science Association   Chairman of the Board  

  • 2023.3    

    公立大学法人横浜市立大学   WiDS Tokyo@YCU第5回シンポジウムのライトニングトーク・セッション審査委員  

  • 2019.4 - 2023.3

    Mathematical and Data Science Center, Kobe University, Japan   Advisory Board Member  

  • 2015.10 - 2023.3

    National Institute for Japanese Language, Japan   Member of the steering committee  

  • 2015.5 - 2023.3

    Shiga University, Japan   Advisory Board Member for Data Science Education and Research  

  • 2021.10 - 2022.3

    京都大学大学院教育支援機構   京都大学大学院教育支援機構プログラム全学選考委員会委員  

  • 2020.7 - 2022.3

    国立大学法人東京医科歯科大学   M&Dデータ科学センター非常勤講師  

  • 2021.4 - 2021.7

    文部科学省研究開発局地震・防災研究課   情報科学を活用した地震調査研究プロジェクト(STAR-E) 採択審査委員会 委員  

  • 2018.10 - 2021.3

    Women in Data Science (WiDS)Tokyo@Yokohama City University 運営委員  

  • 2014.10 - 2020.9

    Japan Science Council   Member, Mathematical Science  

  • 2005.10 - 2020.9

    Japan Science Council   Member, Informatics  

  • 2016.6 - 2020.3

    Japan Advanced Institute of Science and Technology, Japan   Academic Advisor  

  • 2015.10 - 2020.3

    supported by MEXT   Chair of the Advisory Committee for “Integrated Computational Life Science to Support Personalization and Preventive Medicine”, Post Supercomputer “K” priority issue No.2  

  • 2015.9 - 2020.3

    “World-class regional R & D and demonstration center —Research Complex— Promotion Program " project by JST   Expert Committee Member  

  • 2015.7 - 2020.3

    Japan Science and Technology Agency (JST)   Advisor, “Development of fundamental technologies for advanced materials informatics, where theory, experiment, computational science and data science are linked and integrated” Research Area, PRESTO  

  • 2018.9 - 2019.3

    Okinawa Institute of Science and Technology Graduate University (OIST), Japan   aculty Selection Committee  

  • 2018.5 - 2019.3

    Cabinet Office   Members of the “Human-centered AI Social Principles Review Conference”, Science, Technology and Innovation  

  • 2017.6 - 2019.3

    "Mathematics Advanced Innovation Platform" project by MEXT   Steering Committee Member  

  • 2016.10 - 2019.3

    "Private University Research Branding" project by MEXT   External evaluation committee  

  • 2016.6 - 2019.3

    Graduate School of Information Sciences, Tohoku University, Japan   Member of the Management Council  

  • 2015 - 2019.3

    Annals of the Institute of Statistical Mathematics (AISM)   Executive Editor  

  • 2014.8 - 2019.3

    Japan Science and Technology Agency (JST), Japan   Steering Committee Member, Bioscience Database Center  

  • 2014.4 - 2019.3

    国立大学法人総合研究大学院大学教育研究評議会   評議員  

  • 2013.6 - 2019.3

    Association of Data Scientists   Advisor  

  • 2011.11 - 2019.3

    東京大学生産技術研究所   研究顧問  

  • 2008 - 2019.3

    The Asian Regional Section of the International Association for Statistical Computing(IASC-ARS)   理事  

  • 2013.10 - 2019

    Biosupercomputing study group   Director  

  • 2011.2 - 2019.1

    Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan   Expert Committee, Science and Technology Council  

  • 2018.1 - 2018.4

    CCC MARKETING   DATA DEMOCRACY DAYS ゲスト審査委員  

  • 2017.12 - 2018.3

    国立研究開発法人新・エネルギー・産業技術総合開発機構   NEDO技術委員  

  • 2017.9 - 2018.3

    一般財団法人 日本情報経済社会推進協会   第3回ビッグデータ分析コンテスト審査委員  

  • 2016.11 - 2018.3

    International Organization for Neuroinformatics (INCF), RIKEN, supported by MEXT   Member of Japan Node Committee  

  • 2016.5 - 2018.3

    Japan Society of Applied Statistics   Director  

  • 2015.9 - 2018.3

    RIKEN, supported by MEXT   Member of Japan Node Committee, International Organization for Neuroinformatics (INCF)  

  • 2017.12    

    Center for Spatial Information Science, University of Tokyo, Japan   Member for External Evaluation Committee  

  • 2012.11 - 2017.3

    Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan   , “Development of Fundamental Technology for Climate Change Risk Information” project  

  • 2015.1 - 2016.10

    Ministry of Internal Affairs and Communications   R & D Evaluation Committee Evaluation Committee of SCOPE  

  • 2014.5 - 2016.5

    Japan Society of Applied Statistics   President  

  • 2013.3 - 2016.3

    国立研究開発法人情報通信研究機構   高度通信・放送研究開発委託研究評価委員会専門委員  

  • 2008.6 - 2016.3

    "Creation of Knowledge and Information Society" Research Area, PRESTO (Precursory Research for Embryonic Science and Technology), Japan Science and Technology Agency (JST)   Advisor  

  • 2013.9 - 2015.3

    Graduate School of Informatics, Kyoto University, Japan   Advisory Board  

  • 2013.4 - 2015.3

    Japanese Society for Artificial Intelligence   Delegate  

  • 2013.2 - 2014.10

    Ministry of Internal Affairs and Communications   Evaluation Committee for Young ICT Researchers, Strategic Information and Communication Research and Development Promotion Project (SCOPE)  

  • 2010.5 - 2014.5

    電子情報通信学会 情報論的学習理論と機械学習研究専門委員会   副委員長  

  • 2012.11 - 2013.3

    Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan   Assignment selection committee of "Life dynamic system science promotion base" project  

  • 2012.10 - 2013.3

    明治大学グローバルCOEプログラム(現象数理学の形成と発展)   外部評価委員会委員  

  • 2010.6 - 2012.6

    人工知能学会   評議員  

  • 2010.9 - 2011.3

    日本統計学会   評議員  

  • 2010 - 2011

    Nonlinear Biomedical Physics   Editorial Board  

  • 2010 - 2011

    Nonlinear Biomedical Physics   学会誌編集委員  

  • 2008 - 2010

    人工知能学会 SIG-DMSM   主査  

  • 2008 - 2009

    電子情報通信学会   学会誌編集委員  

  • 2007.2 - 2008.1

    Japan—Germany Frontiers of Science program operated by Japan Society for the Promotion of Science (JSPS)   Program manager  

  • 2006.10 - 2007.3

    Graduate School of Science, Kyushu University, Japan   Advisory Committee  

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Academic Activities

  • 2024 Statistical Frontiers in the AI Era Conference, What Can AI do for Statistics and What Can Statistics Do for AI?, Panelist

    Academia Sinica, Taiwan  ( Taipei ) 2024.7    

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    Type:Competition, symposium, etc. 

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  • 第14回横幹連合コンファレンス <特別企画 コトつくり至宝特別セッション>講演 「日本統計学会から見たコトつくり」

    ( 東京大学本郷キャンパス ) 2023.12    

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    Type:Competition, symposium, etc. 

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  • 数学・数理科学専攻若手研究者のための 異分野・異業種研究交流会2022 開催挨拶

    日本数学会, 日本応用数理学会, 統計関連学会連合  ( オンライン開催 ) 2022.10    

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    Type:Academic society, research group, etc. 

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Social Activities

  • データサイエンティスト協会に支えられてきたアカデミアを代表しての挨拶

    Role(s): Appearance, Panelist

    データサイエンティスト協会  The Japan DataScientist Society 10th Anniversary  ウェスティンホテル東京  2023.5 -  

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    Audience: Researchesrs, Scientific, Company

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  • 統計関連学会連合の活動紹介・将来展望

    Role(s): Appearance, Panelist

    日本学術会議数理科学委員会数学分科会、数理科学委員会IMU分科会  公開シンポジウム「数理科学の展望 国際的展開と諸科学・産業との連携拡大を探る」  日本学術会議講堂  2023.3 -  

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    Type:Lecture

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