Updated on 2024/09/20

写真a

 
NAKANO Junji
 
Organization
Faculty of Global Management Professor
Contact information
The inquiry by e-mail is 《here》
Profile
I am specializing in statistics. Main interests are computational statistics and big data analysis.
External link

Degree

  • 理学博士 ( 東京工業大学 )

  • 工学修士 ( 東京大学 )

Education

  • 1980.3
     

    The University of Tokyo   master course   completed

  • 1978.3
     

    The University of Tokyo   graduated

  • 1974.3
     

    徳島県立城南高等学校   graduated

Research History

  • 2019.4 - Now

    Department of Global Management, Chuo University   Professor

  • 1998.4 - 2019.3

    The Institute of Statistical Mathematics   Professor

  • 2003.4 - 2006.3

    立教大学社会学部 非常勤講師

  • 1992.4 - 1998.3

    Faculty of Economics, Hitotsubashi University   Associate professor

  • 1990.4 - 1996.3

    明治学院大学経済学部 非常勤講師

  • 1989.4 - 1992.3

    Graduate School of Policy Science, Saitama University   Lecturer

  • 1980.4 - 1989.3

    Technical College of Tokushima   Assistant Professor

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Professional Memberships

  • International Association for Statistical Computing (IASC)

  • Japanese Society of Applied Statistics

  • Japanese Society of Computational Statistics

  • Japan Statistical Society

  • International Statistical Institute

Research Interests

  • Symbolic data analysis

  • Statistical Software

  • Time series analysis

Research Areas

  • Informatics / Statistical science  / Computational Statistics / Time Series Analysis

  • Informatics / Statistical science  / Statistical science

Papers

  • Granger causality tests based on reduced variable information Reviewed

    Neng‐Fang Tseng, Ying‐Chao Hung, Junji Nakano

    Journal of Time Series Analysis   2023.9

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    Publishing type：Research paper (scientific journal)   Publisher：Wiley  

    Granger causality is a classical and important technique for measuring predictability from one group of time series to another by incorporating information of the variables described by a full vector autoregressive (VAR) process. However, in some applications economic forecasts need to be made based on information provided merely by a portion of variates (e.g., removal of a listed stock due to halting, suspension or delisting). This requires a new formulation of forecast based on an embedded subprocess of VAR, whose theoretical properties are often difficult to obtain. To avoid the issue of identifying the VAR subprocess, we propose a computation‐based approach so that sophisticated predictions can be made by utilizing a reduced variable information set estimated from sampled data. Such estimated information set allows us to develop a suitable statistical hypothesis testing procedure for characterizing all designated Granger causal relationships, as well as a useful graphical tool for presenting the causal structure over the prediction horizon. Finally, simulated data and a real example from the stock markets are used to illustrate the proposed method.

    DOI： 10.1111/jtsa.12720

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  • Article’s scientific prestige: Measuring the impact of individual articles in the web of science Reviewed

    Ying Chen, Thorsten Koch, Nazgul Zakiyeva, Kailiang Liu, Zhitong Xu, Chun-houh Chen, Junji Nakano, Keisuke Honda

    Journal of Informetrics   17 ( 1 )   101379 - 101379   2023.2

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：Elsevier BV  

    DOI： 10.1016/j.joi.2023.101379

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  • International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases Reviewed

    Yuji Mizukami, Junji Nakano

    PLOS ONE   2022.10

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

    DOI： 10.1371/journal.pone.0275306

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  • A stochastic generative model for citation networks among academic papers Reviewed

    Yuichiro Yasui, Junji Nakano

    PLoS ONE   17 ( 6 )   e0269845   2022.6

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    DOI： 10.1371/journal.pone.0269845

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  • A generative model of article citation networks of a subject from a large‑scale citation database Reviewed

    Livia Lin‐Hsuan Chang, Frederick Kin Hing Phoa, Junji Nakano

    Scientometrics   126   7373 - 7395   2021.7

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

    DOI： 10.1007/s11192-021-04037-3

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  • NScluster: An R Package for Maximum Palm Likelihood Estimation for Cluster Point Process Models Using OpenMP Reviewed

    Ushio Tanaka, Masami Saga, Junji Nakano

    Journal of Statistical Software   98 ( 6 )   2021.5

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：Foundation for Open Access Statistic  

    DOI： 10.18637/jss.v098.i06

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  • Using an Academic Literature Database to Evaluate International Interdisciplinary Fusion in IoT Research through Coauthor Analysis Reviewed

    Yuji MIZUKAMI, Junji NAKANO

    Proceedings of The Institute of Statistical Mathematics   68 ( 2 )   265 - 285   2020

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    Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)  

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  • Understanding Research Trends Based on Article Abstracts Using Topic Modeling Reviewed

    Mio TAKEI, Tomokazu FUJINO, Junji NAKANO

    Proceedings of The Institute of Statistical Mathematics   68 ( 2 )   219 - 232   2020

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    Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)  

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  • Citations of Academic Articles and Statistical Articles in Fields of Sciences Reviewed

    Livia Lin-Hsuan Chang, Frederick Kin Hing Phoa, Junji Nakano

    Proceedings of The Institute of Statistical Mathematics   68 ( 2 )   247 - 264   2020

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  • A New Metric for the Analysis of the Scientific Article Citation Network Reviewed

    LIVIA LIN-HSUAN CHANG, FREDERICK KIN, HING PHOA, AND JUNJI, NAKANO

    IEEE Access   7   132027 - 132032   2019.8

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

    Citation plays an important role in the bibliometrics analysis since the introduction of the impact factors, but traditional measures mainly focused on the direct citations between articles. In this work, we introduce a new metric, namely Article Network Influence (ANI), to measure the influence of an article by using broader citation elationships quantitatively. We prepare our article citation networks from one of the largest citation databases called the Web of Science, and we demonstrate the se of ANI on the analysis of these networks in the statistics research community. These analyses appear in the top-20 influential articles in statistics within every 11 years during 1981-2016. We consider differences between the new metric and several traditional measures, including the impact factor, PageRank, and Field-Weighted Citation Impact (FWCI).

    DOI： 10.1109/ACCESS.2019.2937220

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  • Dissimilarity between Aggregated Symbolic Data Using Chi-squared Statistics and Its Application to Real Estate Data Reviewed

    Shimizu, Nobuo The, Institute of, Statistical Mathematics, Nakano, Junji The, Institute of, Statistical Mathematics, Yamamoto, Yoshikazu Tokushima Bunri University

    Proceedings of the Institute of Statistical Mathematics   66 ( 2 )   279 - 294   2018.12

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  • Study on Research Trends on the Internet of Things Using Network Analysis Reviewed

    Mizukami, Yuji Nihon, University, Honda, Keisuke ISM, Nakano, Junji ISM

    International Journal of Japan Association for Management Systems   10   27 - 35   2018.12

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  • Early motor signs of autism spectrum disorder in spontaneous position and movement of the head Reviewed

    Hirotaka Gima, Hideki Kihara, Hama Watanabe, Hisako Nakano, Junji Nakano, Yukuo Konishi, Tomohiko Nakamura, Gentaro Taga

    Experimental Brain Research   236 ( 4 )   1139 - 1148   2018.4

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：Springer Verlag  

    We examined the characteristics of spontaneous movements at 9–20 weeks postterm age in very low birth-weight infants who later developed autism spectrum disorder (ASD). We analyzed video recordings of spontaneous movements of 39 children who had no clinical issues [typically developing (TD) group], 21 children who showed developmental delay, and 14 children who were diagnosed with ASD (ASD group) at 6 years of age. Head position in each video frame was classified by visual inspection. The percentage of midline head position (PMHP) and number of changes in head position were calculated. Spontaneous limb movements were quantified using six indices. The values of PMHP were significantly lower in the ASD group than in the TD group. The lower PMHP during early infancy is associated with later development of ASD. Poorer performance in maintaining midline position of the head at this period may distinguish infants who later develop ASD from those who show TD.

    DOI： 10.1007/s00221-018-5202-x

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  • Synergies between Different Areas in Hospitality Research: A Network Analysis of Bibliographic Data Reviewed

    Mizukami, Yuji Nihon, University, Honda, Keisuke ISM, Nakano, Junji ISM

    International Journal of Japan Academic Society of Hospitality Management   4   1 - 8   2018.3

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  • An International Research Comparative Study of the Degree of Cooperation between disciplines within mathematics and mathematical sciences: proposal and application of new indices for identifying the specialized field of researchers Reviewed

    Mizukami, Yuji College of, dustrial Technology, Nihon University, Mizutani, Yosuke Dema, Side Science, Inc, Honda, Keisuke The, Institute of, Statistical Mathematics, Suzuki, Shigenori Research, Institute of, Info-Communication Medicine

    Behaviormetrica   44 ( 2 )   385 - 403   2017.5

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    Based on 10 years of data on academic papers from 2005 to 2014 available on the “Web of Science”, we conducted an in-depth review and analysis of collaborative academic research activities and relationships in mathematics/mathematical science and 21 other fields. We focused on the “academic papers co-authored with researchers in other fields” and derived new methods for measuring the degree of research cooperation among disciplines. Our new methods consist of two steps. The first step involves measuring and deriving new indices for identifying the specialized field of each researcher and the degree of concentration of each researcher’s work in his or her field of specialization. The second step, based on the indices, utilizes the Lorenz curve and Gini coefficient to identify the characteristics of each field. We analyzed the temporal trends in the data for 15 major countries from 2007 to 2014, to determine if the degree of cooperation between disciplines is changing. We also analyzed the characteristics of different regions: the European Union, North America, Asia without Japan, and Japan. We confirmed the effectiveness of our new methods and obtained some interesting findings that offer a new perspective on academic research activities.

    DOI： 10.1007/s41237-017-0023-y

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  • Co-author Information and Authors' Affiliation Information in Scientific Literature Using Centralities Reviewed

    Mizukami, Yuji Nihon, University, Honda, Keisuke The, Institute of, Statistical Mathematics, Suzuki, Shigenori Research, Institute of, Info-Communication Medicine, Nakano, Junji The, Institute of, Statistical Mathematics, Otabe, Akira Nihon University

    International Journal of the Japan Association for Management Systems   8   1 - 8   2016.12

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  • 18-year variability of ultraviolet radiation penetration in the mid-latitude coastal waters of the western boundary Pacific Reviewed

    Victor S. Kuwahara, Sena Nozaki, Junji Nakano, Tatsuki Toda, Tomohiko Kikuchi, Satoru Taguchi

    ESTUARINE COASTAL AND SHELF SCIENCE   160   1 - 9   2015.7

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD  

    The 18-year time-series shows in situ ultraviolet radiation (UVR) and photosynthetically active radiation (PAR) diffuse attenuation coefficient K-d(lambda) have recurrent seasonal variability of high/low attenuation during summer/winter months, respectively, dependent on variability in water column stratification and concentrations of bio-optical properties. The mid-latitude coastal survey station displayed significant seasonality of the mixed layer depth (MLD) between 12 and 82 m which modified the distribution of chlorophyll a (4.6-24.9 mg m(-2)) and absorption of colored dissolved organic matter [a(CDOM)(320 nm) 0.043-134 m(-1)]. The median K-d(320 nm) displayed significant seasonality at 0.19 -0.74 m(-1) (C.V. = 44.1%) and seasonal variability within the euphotic layer [Z(10%)(320 nm) = 7-20%]. High attenuation of UVR with relatively moderate attenuation of PAR was consistently observed during the summer months when increased concentrations of terrestrially derived CDOM coupled with a shallow MLD were present. The winter season showed the opposite of low UVR and PAR attenuation due to a relatively deeper MLD coupled with low concentrations of bio-optical properties. Although the long term K-d(lambda) did not vary significantly during the time-series, analysis of the interannual variability suggests there are positive and negative phases following the Pacific Decadal Oscillation (PDO) vis-a-vis variability in bio-optical properties (p < 0.001). (C) 2015 Elsevier Ltd. All rights reserved.

    DOI： 10.1016/j.ecss.2015.03.029

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  • 対話的グラフィックスとネットワーク可視化によるインターネット通販サイトの閲覧・購買行動の分析 Reviewed

    山本 由和, 中野 純司, 藤原 丈史, 尾? 皇彦, システム技研

    計算機統計学   27 ( 2 )   95 - 107   2014.12

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Japanese Society of Computational Statistics  

    Nowadays, "big data" are almost automatically assembled and stored in all fields of human activities beacuse of the development of computation and communication technologies. Although the importance of utilizing "big data" and some examples describing the final results of their success are given in various books and references, details of the analysys processes are not easily accessible. This paper describes details of analysing "big data" given from an internet golf goods shopping site. We use interactive graphics and graph visualization software for analysing them and show the usefulness of these techniques.

    DOI： 10.20551/jscswabun.27.2_95

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  • Exploratory data analysis of interval-valued symbolic data with matrix visualization Reviewed

    Chiun-How Kao, Junji Nakano, Sheau-Hue Shieh, Yin-Jing Tien, Han-Ming Wu, Chuan-Kai Yang, Chun-houh Chen

    COMPUTATIONAL STATISTICS & DATA ANALYSIS   79   14 - 29   2014.11

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：ELSEVIER SCIENCE BV  

    Symbolic data analysis (SDA) has gained popularity over the past few years because of its potential for handling data having a dependent and hierarchical nature. Amongst many methods for analyzing symbolic data, exploratory data analysis (EDA: Tukey, 1977) with graphical presentation is an important one. Recent developments of graphical and visualization tools for SDA include zoom star, closed shapes, and parallel-coordinate-plots. Other studies project high dimensional symbolic data into lower dimensional spaces using symbolic data versions of principal component analysis, multidimensional scaling, and self-organizing maps. Most graphical and visualization approaches for exploring symbolic data structure inherit the advantages of their counterparts for conventional (non-symbolic) data, but also their disadvantages. Here we introduce matrix visualization (MV) for visualizing and clustering symbolic data using interval-valued symbolic data as an example; it is by far the most popular symbolic data type in the literature and the most commonly encountered one in practice. Many MV techniques for visualizing and clustering conventional data are converted to symbolic data, and several techniques are newly developed for symbolic data. Various examples of data with simple to complex structures are brought in to illustrate the proposed methods. (C) 2014 Elsevier B.V. All rights reserved.

    DOI： 10.1016/j.csda.2014.04.012

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  • Jerky spontaneous movements at term age in preterm infants who later developed cerebral palsy Reviewed

    Nao Kanemaru, Hama Watanabe, Hideki Kihara, Hisako Nakano, Tomohiko Nakamura, Junji Nakano, Gentaro Taga, Yukuo Konishi

    EARLY HUMAN DEVELOPMENT   90 ( 8 )   387 - 392   2014.8

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：ELSEVIER IRELAND LTD  

    Background: Assessment of spontaneous movements in infants has been a powerful predictor of cerebral palsy (CP). Recent advancements on computer-based video analysis can provide detailed information about the properties of spontaneous movements.
    Aims: The aim of this study was to investigate the relationship between spontaneous movements of the 4 limbs at term age and the development of CP at 3 years of age by using a computer-based video analysis system.
    Study design and subjects: We analyzed video recordings of spontaneous movements at 36-44 weeks postmenstrual age (PMA) for 145 preterm infants who were born preterm (22-36 weeks PMA with birthweights of 460-1498 g). Sixteen of the infants developed CP by 3 years of age, while 129 developed normally. We compared 6 movement indices calculated from 2-dimensional trajectories of all limbs between the 2 groups.
    Results: We found that the indices of jerkiness were higher in the CP group than in the normal group (p &lt; 0.1 for arms and p &lt; 0.01 for legs). No decline was observed in the average velocity and number of movement units in the CP group compared with to the normal group.
    Conclusions: Jerkiness of spontaneous movements at term age provides additional information for predicting CP in infants born preterm. (C) 2014 Elsevier Ireland Ltd. All rights reserved.

    DOI： 10.1016/j.earlhumdev.2014.05.004

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  • Specific characteristics of spontaneous movements in preterm infants at term age are associated with developmental delays at age 3 years Reviewed

    Nao Kanemaru, Hama Watanabe, Hideki Kihara, Hisako Nakano, Rieko Takaya, Tomohiko Nakamura, Junji Nakano, Gentaro Taga, Yukuo Konishi

    DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY   55 ( 8 )   713 - 721   2013.8

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：WILEY-BLACKWELL  

    AIM The aim of this study was to investigate the relationship between the characteristics of spontaneous movements in preterm infants at term age and developmental delay at 3 years of age.
    METHOD We analysed video recordings of the spontaneous movements in the supine position of 124 preterm infants (44 males, 80 females) at 36 to 44 weeks postmenstrual age (PMA). The infants were born preterm (22-36wks PMA; birthweight 489-1696g) and had not received a diagnosis of a neurological or developmental disorder by the age of 3 years. The recorded spontaneous movements were quantified using six movement indices, which were calculated from two-dimensional trajectories of all limbs. The infants were divided into three developmental groups, normal, borderline, or delayed, based on their developmental quotient as calculated using the Kyoto Scale of Psychological Development 2001 (Kyoto Scale) at 3 years of age. Group differences in the movement indices were analysed.
    RESULTS In the delayed group, average velocity of arms and legs were significantly lower (p&lt;0.05 and p&lt;0.01 respectively), the numbers of movement units of arms and legs were significantly lower (p&lt;0.05 and p&lt;0.01 respectively), kurtosis of acceleration of arms and legs was significantly higher (p&lt;0.05 in each case), and correlation between limb velocities was higher (p&lt;0.05) than in the normal group.
    INTERPRETATION In children who exhibited developmental delay at 3 years of age, the spontaneous movements at term age can be described as less active with intermittent occurrences of abrupt and synchronized movements of the limbs. Recognition of these characteristics of spontaneous movements at term age may be used as a predictor for subsequent cognitive and behavioural development in preterm infants.

    DOI： 10.1111/dmcn.12156

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  • 住宅検索サイトにおける閲覧行動の予測シミュレーション : MahoutとHadoopを利用したJava言語による実装(セッション3B スタディーグループセッション「データカフェ」)

    尾崎 皇彦, 山本 由和, 清水 信夫, 藤原 丈史, 中野 純司

    日本計算機統計学会シンポジウム論文集   27   99 - 100   2013

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    Language：Japanese   Publisher：日本計算機統計学会  

    DOI： 10.20551/jscssymo.27.0_99

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  • Clustering based on Gaussian mixture model for aggregated symbolic data

    Nakano, J, Shimizu, N

    Proceedings of IASC satellite conference for the 59th ISI WSC & the 8th conference of IASC-ARS   299 - 303   2013

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  • 住宅検索サイトにおける閲覧行動の予測シミュレーション(スタディグループセッション「データカフェ」,セッション5A)

    山本 由和, 清水 信夫, 藤原 丈史, 中野 純司

    日本計算機統計学会大会論文集   27   127 - 128   2013

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    Language：Japanese   Publisher：日本計算機統計学会  

    DOI： 10.20551/jscstaikai.27.0_127

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  • 可視化とネットワーク分析による閲覧・購買行動の解析(スタディグループセッション「データカフェ」:平成23年度データ解析コンペティション報告)

    山本 由和, 中野 純司, 藤原 丈史, 尾崎 皇彦

    日本計算機統計学会大会論文集   26   35 - 38   2012

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    Language：Japanese   Publisher：日本計算機統計学会  

    DOI： 10.20551/jscstaikai.26.0_35

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  • 大量POSデータの可視化と解析(スタディグループセッション「データカフェ」:平成22年度データ解析コンペティション報告)

    山本 由和, 中野 純司, 藤原 丈史, 尾崎 皇彦

    日本計算機統計学会大会論文集   25   133 - 134   2011

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    Language：Japanese   Publisher：日本計算機統計学会  

    DOI： 10.20551/jscstaikai.25.0_133

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  • Data Visualization and Aggregation Reviewed

    Nakano J, Yamamoto Y

    Proceedings of COMPSTAT' 2010   1437 - 1444   2010.11

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  • Parallel computing in the statistical system Jasp Reviewed

    Yoshikazu Yamamoto, Junji Nakano, Takeshi Fujiwara

    COMPUTATIONAL STATISTICS   25 ( 2 )   291 - 298   2010.6

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：SPRINGER HEIDELBERG  

    Modern statistical data analysis often requires powerful computers. Parallel computing is a technique to realize such a computer system. Although many "low-level" software technologies for parallel computing have been developed, they are not easy to use for statisticians who are accustomed to "high-level" statistical languages. In this paper, we describe high-level parallel computing functions in a statistical analysis system called Jasp. We implemented them mainly considering ease of use.

    DOI： 10.1007/s00180-009-0176-6

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  • The influence of positioning on spontaneous movements of preterm infants Reviewed

    Hisako Nakano, Hideki Kihara, Junji Nakano, Yukuo Konishi

    Journal of Physical Therapy Science   22 ( 3 )   337 - 344   2010

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    [Purpose] In this study, we quantitatively evaluated how the positioning program influenced the movement patterns of preterm infants in the neonatal intensive care unit (NICU). [Subjects and Methods] Spontaneous movements of 12 low-risk preterm infants were video-recorded at 38 or 39 postmenstrual weeks of age (PMA). Six of them (positioning group) received a positioning program from birth to 35-36 weeks of PMA while the other 6 (non-positioning group) did not. We attached reflective markers on the infant's wrists and ankles in the supine position and filmed them from above. By using a two-dimensional image analysis system, we digitized the wrist and ankle trajectories and analyzed the data by calculating several statistics. [Results] Infants in the positioning group brought their hands to the midline or crossed their hands over the midline and showed more variation in velocity of movements than those in the nonpositioning group. We also noticed that infants in the positioning group exhibited and maintained a movement pattern similar to that of full-term infants at 1 month after the positioning program was terminated. [Conclusions] These results suggest that appropriate positioning of preterm infants facilitates flexion posture and movement patterns toward the centre of the body similar to foetuses in the uterus.

    DOI： 10.1589/jpts.22.337

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  • M-decomposability and symmetric unimodal densities in one dimension Reviewed

    Nicholas Chia, Junji Nakano

    ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS   61 ( 2 )   275 - 289   2009.6

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：SPRINGER HEIDELBERG  

    In this paper, we introduce the notion of M-decomposability of probability density functions in one dimension. Using M-decomposability, we derive an inequality that applies to all symmetric unimodal densities. Our inequality involves only the standard deviation of the densities concerned. The concept of M-decomposability can be used as a non-parametric criterion for mode-finding and cluster analysis.

    DOI： 10.1007/s10463-007-0144-2

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  • 計算機技術と統計解析ソフトウェア - 統計解析システムJasp 開発の視点から - Reviewed

    中野純司, 山本由和, 小林郁典, 藤原丈史

    日本統計学会誌   38 ( 1 )   275 - 289   2009

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  • Using Statistical Libraries in Different Statistical Systems

    Takeshi Fujiwara Tokyo, Univ. of, Information Sciences, Uwe Ziegenhagen Humboldt, Univ. zu Berlin, Yoshikazu Yamamoto, Tokushima Bunri Univ, Junji Nakano, Wolfgang Haerdle Humboldt, Univ. zu Berlin

    Proceedings, IASC2008   471 - 476   2008.12

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    Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Japanese Society of omputational Statistics  

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  • 統計データの可視化(5) 一般連関プロット

    中野純司

    ESTRELA   2008年5月号 ( 170 )   40 - 43   2008.5

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  • 統計データの可視化(4) 動的な射影プロット

    中野純司

    ESTRELA   2008年4月号 ( 169 )   38 - 41   2008.4

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  • Programming statistical data visualization in the Java language Reviewed

    Nakano J, Yamamoto Y, Honda K

    Handbook of Data Visualization   725 - 756   2008.4

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  • 統計データの可視化(3) モザイクプロット

    中野純司

    ESTRELA   2008年3月号 ( 168 )   44 - 47   2008.3

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  • 統計データの可視化(2) 平行座標プロット

    中野純司

    ESTRELA   2008年2月号 ( 167 )   42 - 45   2008.2

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  • 統計データの可視化(1) 対話的操作の基礎

    中野純司

    ESTRELA   2008年1月号 ( 166 )   42 - 45   2008.1

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  • Using mathematical expressions in a statistical language Reviewed

    Takeshi Fujiwaraa, Junji Nakano, Yoshikazu Yarnamotoc

    COMPUTATIONAL STATISTICS & DATA ANALYSIS   52 ( 2 )   650 - 662   2007.10

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    Statistical models consist of mathematical expressions and algorithms. In a statistical system, such models are described in a statistical language. Therefore, a statistical language is useful if it can handle mathematical equations directly and connect them with algorithms seamlessly. This ability enables users to write and read programs intuitively and easily. The statistical language having this ability has been implemented in a statistical system Jasp using Java and MathML technologies. (C) 2006 Elsevier B.V. All rights reserved.

    DOI： 10.1016/j.csda.2006.10.022

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  • 3次元平行座標プロット Reviewed

    本多 啓介, 中野 純司

    統計数理   55 ( 1 )   69 - 83   2007.5

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  • Multivariate Geographical Data Visualization Using Linked Statistical Graphics

    Lee Jung Jin

    55 ( 1 )   113 - 124   2007

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  • A Java library for statistical graphs using design patterns Reviewed

    Yamamoto, Yoshikazu Tokushima Bunri University, Nakano, Junji ISM, Honda, Keisuke Sokendai

    Proceedings of the Institute of Statistical Mathematics   55 ( 1 )   27 - 45   2007

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  • 対話的統計グラフのためのJavaライブラリ(スタディグループセッション)

    山本 由和, 中野 純司, 本多 啓介

    日本計算機統計学会大会論文集   20 ( 0 )   159 - 162   2006

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    DOI： 10.20551/jscstaikai.20.0_159

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  • 3 dimensional parallel coordinates plot and its use for variable selection Reviewed

    Keisuke Honda, Junji Nakano

    COMPSTAT 2006: PROCEEDINGS IN COMPUTATIONAL STATISTICS   187 - +   2006

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    We propose to extend traditional 2 dimensional (21)) Parallel Coordinates plot (PCP) to the one in 3 dimensional (31)) space for showing relationships among many variables intuitively. We also illustrate that 3D PCP can be used for variable selection. In 2D PCP, we often use a brushing operation to sweep from small values to large values of one reference variable. This operation makes the relationships among the reference variable and other variables clear by using time axis. Our basic idea is to use spatial 3rd orthogonal axis instead of time. We locate line segments which show observations with respect to the values of a selected reference variable in 3D space. We show some rearrangements of order and directions of axes are useful to see the similarity between the reference variable and other variables clearly, so it can be used in the first step of variable selection. We also propose to divide values of one variable into several intervals and perform ordering with respect to the reference variable within each interval. This operation is useful to show non-linear interaction by two variables to the reference variable.

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  • Parallel Computing in a Statistical System Jasp Reviewed

    Yamamoto, Y, Nakano, J, Kobayashi, I, Fujiwara

    COMPSTAT 2004 - Proceedings in Computational Statistics (J. Antoch 編)   2003 - 2010   2004.9

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  • Adding visualization functions of DAVIS to Jasp: Mixing two Java-based statistical systems Reviewed

    J Nakano, MY Huh, Y Yamamoto, T Fujiwara, Kobayashi, I

    COMPUTATIONAL STATISTICS   19 ( 1 )   137 - 146   2004

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    Jasp is an experimental general purpose Java-based statistical system which adopts several new computing technologies. It has a function-based and object-oriented language, an advanced user interface, flexible extensibility and a server/client architecture with distributed computing abilities. DAVIS is, on the other hand, a stand-alone Java-based system, and is designed for providing advanced data visualization functions with easy operations by a GUI. In this paper, it is made possible to use tools of DAVIS from within Jasp, in order that the new integrated system can handle not only data filtering and statistical analysis but also data visualization. We develop a mechanism for extending the server/client system of Jasp to realize an efficient collaboration with DAVIS in the client-side. It is shown that the mechanism is straightforward and simple.

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  • Parallel computing techniques Reviewed

    Junji Nakano

    Handbook of Computational Statistics: Concepts and Methods (Gentle, J. E.,Haerdle, W. and Mori,Y. 編)   237 - 266   2004

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  • Extensibilities of a java based statistical system Reviewed

    Junji Nakano

    Journal of the Japanese Society of Computational Statistics   15 ( 2 )   183 - 192   2003

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    A statistical system needs to be able to work with other systems in a flexible way and be easily extensible, because no one statistical system can implement all the features required by a wide variety of users. Recently, new ways of extending statistical systems have been brought about by the rapid development of software technologies, including the Java language. In this paper, we propose the use of several Java language techniques for realizing extensions of Jasp, a Java-based statistical system, and demonstrate three practical features of these extensions. The first practical feature is demonstrated in the ability to handle extensible Markup Language (XML) documents, which are the standard format for data transmission on the WWW. The second practical feature is the use of the Component Object Model (COM) interface of Microsoft Windows for communication, e.g., with Microsoft Excel. The third practical feature is the sharing of program resources from other statistical software products, and to perform this task we have extended Jasp by using a translator to execute functions written in the XploRe language.

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  • Distributed processing functions of a time series analysis system Reviewed

    Yamamoto, Y, Nakano, J

    Journal of Japanese Society of Computational Statistics   15 ( 1 )   65 - 77   2002

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    In this paper, we propose the use of the server/client system in statistical analysis. We show that the interactive response speed of a time series analysis system TISAS (Time Series Analysis Supporting system) has been improved by adding functions for distributed processing by using the Parallel Virtual Machine (PVM) library. TISAS was originally designed for building an object-based graphical user interface (GUI). The Tcl/Tk interpreter language was chosen as the main programming language, because it was designed especially for building GUI applications easily. We reconstruct TISAS by adopting a server/client system structure without changing the style of the GUI by using TkPVM, which is an implementation of the PVM library through Tcl/Tk.

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  • A procedural and object-oriented statistical scripting language Reviewed

    Kobayashi, I, T Fujiwara, J Nakano, Y Yamamoto

    COMPUTATIONAL STATISTICS   17 ( 3 )   395 - 410   2002

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    This paper describes the language for a statistical system named Jasp (JAva based Statistical Processor). Even if a statistical system has an advanced graphical user interface for operations, a language for it is still important in order to have complete control of it. The language is also used to implement new statistical procedures that are not realized in the system. For simplifying these, the Jasp language is designed as a procedural function-based scripting language especially for statistical analysis. The language, at the same time, can treat class-based objects for gathering related functions without difficulty. In addition, it can "glue" Java classes and routines written in native languages, and make them available simply.

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  • A mixed user interface for a statistical system Reviewed

    Y Yamamoto, J Nakano, T Fujiwara, Kobayashi, I

    COMPUTATIONAL STATISTICS   17 ( 3 )   379 - 393   2002

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    Nowadays a graphical user interface (GUI) is popular because it is easy and intuitive to use. A character user interface (CUI) is, however, still important for providing access to the full power of the system. A CUI allows users to write statistical programs to perform complicated analyses that are not realized in the built-in functions of the system. In this article, therefore, we insist on the significance of a "mixed user interface"' for utilizing both a GUI and a CUI together in a statistical system. We discuss the characteristics required for a mixed user interface, and describe its implementation in the statistical system Jasp (Java based statistical processor). Jasp is written in the Java language and adopts many recently developed computer technologies. We have designed the GUI and the CUI to be used independently: but able to be selected seamlessly and alternatively depending on the user's purposes and levels of expertise with the system.

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  • An object-based graphical user interface for time series analysis Reviewed

    Y Yamamoto, J Nakano

    COMPUTATIONAL STATISTICS   17 ( 2 )   203 - 213   2002

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    We propose a graphical user interface (GUI) of a statistical system largely based on direct icon operations. Our GUI adopts an object-oriented approach to represent data, statistics and models as instance objects and to depict them as icons on the screen, arranged as a tree to clearly record the history of one data analysis session. When we point at an icon that represents an object we wish to manipulate, a pop-up menu, whose items are statistical procedures available for the object, appears. Selecting an appropriate procedure produces a new object and an icon on the screen to record the process of the analysis. As we can perform all statistical analyses on the tree of icons visually, by following situation-sensitive menus and using simple mouse operations, our GUI is easy to use for many novice users and is useful for preventing the trivial misuse of statistical procedures. We implemented a prototype of the proposed GUI for a time series analysis system named TISAS.

    DOI： 10.1007/s001800200102

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  • Java言語による統計解析システムJasp Reviewed

    Takeshi Fujiwara, Junji Nakano, Yoshikazu Yamamoto, Ikunori Kobayashi

    統計数理   49 ( 2 )   333 - 343   2001

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  • An implementation of a statistical language based on Java Reviewed

    JunjFujiwara, T, Nakano, J, Yamamoto, Y, Kobayashi, I

    Journal of the Japanese Society of Computational Statistics   14 ( 1 )   59 - 67   2001

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    As computing technologies have been developed rapidly and continuously, statistical languages should be frequently improved by adopting them for realizing comfortable statistical environments. Although that work was a difficult task before, we can implement such languages easily by modern software techniques such as the Java language, which unifies recent computer technologies widely and neatly. In this paper, we describe the idea of a new Jasp (JAva based Statistical Processor) language, which is a function-based and object-oriented language, is suitable for interactive operation, and has fiexibilities and diverse extensibilities. Considering required characteristics for a statistical language, we decide to implement the Jasp language by Java technologies through the Pnuts language, which is a script language written in Java, and a preprocessing approach. This implementation brings several advantages such as reduction of development costs, effective uses of existing resources, and adequate reliabilities.

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  • A statistical package based on PnutsA statistical package based on Pnuts Reviewed

    J. Nakano, T. Fujiwara, Y. Yamamoto, I. Kobayashi

    COMPSTAT 2000 Proceedings (J. Bethlehem, P. van der Heijden 編)   361 - 366   2000

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  • Graphical User Interface for a Statistical Package

    Nakano Junji

    39   105 - 148   1998.3

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  • Graphical user interface for statistical software using Internet Reviewed

    Junji Nakano

    COMPSTAT 1998 Proceedings (Payne, R., Green, P. 編)   407 - 412   1998

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  • A Programming Language of the Regression Analysis Supporting System RASS Reviewed

    Ikunori KOBAYASHI, Junji NAKANO

    Proceedings of the Institute of Statistical Mathematics   45 ( 1 )   1 - 11   1997

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  • A WWW Interface for the Statistical Package SHAZAM Reviewed

    Junji Nakano, Kenneth J. WHITE

    Proceedings of the Institute of Statistical Mathematics   45 ( 1 )   41 - 47   1997

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  • Porting TIMSAC72 for MS-Windows to UNIX Reviewed

    Yoshikazu YAMAMOTO, Junji NAKANO, Yoshiyasu TAMURA

    Proceedings of the Institute of Statistical Mathematics   43 ( 2 )   285 - 292   1995

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  • Some Aspects of Overseas Software for Date Analysis(<Special Features>Software for Quality Control and Data Analysis : Continued)

    KAMAKURA Toshinari, TSUBAKI Hiroe, NAKANO Junji

    Journal of the Japanese Society for Quality Control   22 ( 4 )   96 - 102   1992.10

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  • A Knowledge-based Multiple Regression Analysis Supporting System Reviewed

    Junji NAKANO, Yoshikazu YAMAMOTO, Masafumi OKADA

    Japanese journal of applied statistics   20 ( 1 )   11 - 23   1991

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    Publisher：Japanese Society of Applied Statistics  

    DOI： 10.5023/jappstat.20.11

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  • A TEST FOR THE PRESENCE OF PURE FEEDBACK IN MULTIVARIATE DYNAMIC STOCHASTIC-SYSTEMS Reviewed

    J NAKANO, S TAGAMI

    ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS   41 ( 4 )   765 - 779   1989

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  • DELAY ESTIMATION BY A HILBERT TRANSFORM METHOD Reviewed

    Junji Nakano, Shigemi Tagami

    Australian Journal of Statistics   30 ( 2 )   217 - 227   1988

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    This paper describes an estimation of the time delay between two stationary time series signals, in which an input signal is measured with little noise and an output signal is the sum of a noise and the response from a linear system. We use the Hilbert transform relation for minimum delay systems to estimate the time delay. Some computer simulation results are given to evaluate the performance of the proposed method. Copyright © 1988, Wiley Blackwell. All rights reserved

    DOI： 10.1111/j.1467-842X.1988.tb00852.x

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  • ORDER SELECTION OF A MULTIVARIATE AUTOREGRESSIVE MODEL BY A MODIFICATION OF THE FPE CRITERION Reviewed

    J NAKANO, S TAGAMI

    INTERNATIONAL JOURNAL OF CONTROL   45 ( 2 )   589 - 596   1987.2

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：TAYLOR & FRANCIS LTD  

    DOI： 10.1080/00207178708933752

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  • ESTIMATION OF PARAMETERS OF A MULTIVARIATE MOVING AVERAGE MODEL FROM ESTIMATES OF THE INVERSE AUTOCOVARIANCE FUNCTION Reviewed

    J NAKANO, S TAGAMI

    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS   16 ( 1 )   181 - 192   1987

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  • The asymptotic behaviour of the sample autocovariance function for an autoregressive integrated moving average process Reviewed

    Junji Nakano, Shigemi Tagami

    J. Japan. Statist. Soc.   17 ( 2 )   31 - 38   1987

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  • Detection of a Closed-Loop of Dynamic Stochastic Systems Reviewed

    NAKANO Junji, TAGAMI Shigemi

    Transactions of the Society of Instrument and Control Engineers   19 ( 4 )   286 - 292   1983

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    Publisher：The Society of Instrument and Control Engineers  

    This paper describes the procedure of testing the presence of a feedback loop for a scalar discrete dynamic stochastic system.<br>Box and Jenkins proposed a stochastic model for open-loop systems. They employed a transfer function model to describe the dynamics between the input and the output, and an autoregressive moving average model to characterize the input and the disturbance. They also obtained an identification and estimation method. But their method leads to inappropriate estimates if the generating process is a closed-loop system whose input is written as a linear combination of the output. Therefore, at the first stage of the data analysis, the existence of the closed-loop should be tested.<br>For that purpose, we use the portmanteaulike statistic, which is constructed from the input and the output prewhitened by an autoregressive model fitting with the FPE criterion. This statistic is shown to be asymptotically distributed according to the χ2 distribution of certain degrees of freedom. The test procedure is derived from this result. Two real data are analysed to demonstrate the usefulness of the present method.

    DOI： 10.9746/sicetr1965.19.286

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    Other Link： https://jlc.jst.go.jp/DN/JALC/00196389514?from=CiNii

  • PARAMETER-ESTIMATION OF AN AUTOREGRESSIVE MOVING AVERAGE MODEL Reviewed

    J NAKANO

    ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS   34 ( 1 )   83 - 90   1982

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  • ON THE VARIANCE OF THE SAMPLE AUTOCOVARIANCE FUNCTION FOR A GAUSSIAN ONCE INTEGRATED 1ST ORDER MOVING AVERAGE PROCESS Reviewed

    J NAKANO, S TAGAMI

    COMMUNICATIONS IN STATISTICS PART B-SIMULATION AND COMPUTATION   11 ( 5 )   637 - 639   1982

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Books

  • 統計解析環境XploRe―アプリケーションガイド

    垂水 共之, 森 裕一, 山本 義郎, 鎌倉 稔成, 中野 純司, 宿久 洋（ Role： Joint translator ,  Original_author： W. H ̈ardle, S. Klinke, Z. Hl ́avka）

    共立出版  2003.10  （ ISBN:4320017455 ）

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  • 統計解析環境XploRe―ラーニングガイド

    垂水 共之, 山本 義郎, 宿久 洋, 森 裕一, 中野 純司（ Role： Joint translator ,  Original_author： Wolfgang H ̈ardle, M. M ̈uller, S. Klinke）

    共立出版  2001.7  （ ISBN:4320016785 ）

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    Total pages：500  

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MISC

  • Study of Research and Adoption Trends in the field of Hospitality Management by Academic Journals

    ( 29 )   59 - 66   2019.3

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  • 拡張型媒介中心性指標を用いた論文共著分析による人的ネットワークの研究:-研究IR による情報・システム研究機構(ROIS)の分析-

    水上 祐治, 本多 啓介, 鈴木 重徳, 中野 純司

    日本計算機統計学会シンポジウム論文集   30 ( 0 )   39 - 42   2016

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    DOI： 10.20551/jscssymo.30.0_39

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  • ISI 2015(第60回世界統計大会)に出席して (特集 国際統計協会 第60回世界統計大会報告)

    中野 純司

    Estrela   ( 260 )   2 - 7   2015.11

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    Language：Japanese   Publisher：統計情報研究開発センター  

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  • 統計ライブラリのシステム間での利用とその実装 (日本計算機統計学会第24回シンポジウム論文集) -- (セッション4B)

    藤原 丈史, 山本 由和, 中野 純司

    日本計算機統計学会シンポジウム論文集   24   167 - 170   2010.11

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    DOI： 10.20551/jscssymo.24.0_167

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  • 統計ライブラリのシステム間での利用とその実装(セッション4B)

    藤原 丈史, 山本 由和, 中野 純司

    日本計算機統計学会シンポジウム論文集   24 ( 24 )   167 - 170   2010.11

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    DOI： 10.20551/jscssymo.24.0_167

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  • 統計ソフトウェアRのメモリー管理における改良(セッション2A)

    中野 純司, 中間 栄治

    日本計算機統計学会大会論文集   24 ( 24 )   69 - 72   2010.5

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    DOI： 10.20551/jscstaikai.24.0_69

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  • 統計解析システムJaspにおける既存ライブラリの利用(セッション4B)

    藤原 丈史, 山本 由和, 中野 純司

    日本計算機統計学会シンポジウム論文集   22 ( 22 )   139 - 142   2008.11

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    DOI： 10.20551/jscssymo.22.0_139

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  • Computer technology and statistical analysis software : From the viewpoint of developing a statistical analysis system Jasp(<Special Section>Commemoration of the 75th Anniversary of the Japan Statistical society (III))

    Nakano Junji, Yamamoto Yoshikazu, Kobayashi Ikunori, Fujiwara Takeshi

    Journal of the Japan Statistical Society Japanese issue   38 ( 1 )   59 - 69   2008.9

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    Statistical analysis software is necessary and indispensable for modern statistics. One reason is that it is used to obtain the values of various statistics by intensive numerical calculations. Another important reason is that software is used as means to describe models for expressing mechanisms of generating huge amount of complicated data. As statistical analysis software is realized on computer, functions of the software depend on available computer technology. In this paper, we consider important computer technology for building modern statistical analysis software, mainly from the viewpoint of developing a statistical analysis system Jasp.

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  • 統計解析システムにおけるUMLを活用したビジュアル操作環境(セッション-2)

    藤原 丈史, 中野 純司, 山本 由和

    日本計算機統計学会シンポジウム論文集   21 ( 21 )   27 - 30   2007.11

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    DOI： 10.20551/jscssymo.21.0_27

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  • On the Special Issue "Statistical Data Visualization"

    55 ( 1 )   1 - 2   2007.6

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  • A Java library for statistical graphs using design patterns

    Proceedings of the Institute of Statistical Mathematics   55 ( 1 )   27 - 45   2007

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  • 統計解析言語における数式とアルゴリズムの統合(一般セッションV)

    藤原 丈史, 中野 純司, 山本 由和

    日本計算機統計学会シンポジウム論文集   20 ( 20 )   125 - 128   2006.10

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    DOI： 10.20551/jscssymo.20.0_125

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  • IMPLEMENTING DATA MINING FUNCTIONS ON A JAVA-BASED STATISTICAL SYSTEM

    Kobayashi Ikunori, Nakano Junji, Yamamoto Yoshikazu, Fujiwara Takeshi

    Bulletin of the Computational Statistics of Japan   18 ( 1 )   15 - 25   2006.6

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    Jasp is a general purpose statistical system, which has been developed by using Java technologies. We have implemented data mining methods on it, by importing well-known data mining Java class library Weka and combining it in Jasp language. This approach can shorten the time of implementation work, keep consistency of the system, and make it easy to collaborate with other Jasp functions. Users can cleanse a dataset, make several graphs of the dataset by Jasp statistical functions, and apply data mining algorithms such as C4.5, PRISM, support vector machine, APRIORI, K-Means, by Weka functions. This version of Jasp is freely available from http://jasp.ism.ac.jp/.

    DOI： 10.20551/jscswabun.18.1_15

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  • 統計解析言語における数式表現の利用(一般講演V,日本計算機統計学会第18回シンポジウム)

    藤原 丈史, 中野 純司, 小林 郁典, 山本 由和

    計算機統計学   18 ( 1 )   63 - 63   2006.6

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  • 統計解析システム Jasp における地理情報解析(日本計算機統計学会 第19回シンポジウム)

    小林 郁典, 山本 由和, 中野 純司, Lee Jung Jin

    日本計算機統計学会シンポジウム論文集   19 ( 19 )   43 - 46   2005.10

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    DOI： 10.20551/jscssymo.19.0_43

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  • 統計解析システムJaspのデータマイニング機能の利用(SGセッション2, 日本計算機統計学会第18回大会報告)

    小林 郁典, 中野 純司, 山本 由和, 藤原 丈史

    計算機統計学   17 ( 2 )   165 - 165   2005.8

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  • 統計解析システム Jasp のネットワークユーザインタフェース(日本計算機統計学会 第19回大会)

    山本 由和, 中野 純司, 小林 郁典, 藤原 丈史

    日本計算機統計学会大会論文集   19 ( 19 )   133 - 136   2005.5

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    DOI： 10.20551/jscstaikai.19.0_133

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  • 統計解析言語における数式表現の利用(一般講演V)

    藤原 丈史, 中野 純司, 小林 郁典, 山本 由和

    日本計算機統計学会シンポジウム論文集   18 ( 18 )   107 - 110   2004.10

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    DOI： 10.20551/jscssymo.18.0_107

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  • 統計解析システムJaspのデータマイニング機能の実装(第17回日本計算機統計学会大会報告)(セッション2)

    小林 郁典, 藤原 丈史, 山本 由和, 中野 純司

    計算機統計学   16 ( 2 )   171 - 171   2004.5

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  • 統計解析システムJaspのデータマイニング機能の利用(SGセッション2)

    小林 郁典, 中野 純司, 山本 由和, 藤原 丈史

    日本計算機統計学会大会論文集   18 ( 18 )   143 - 146   2004.5

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    DOI： 10.20551/jscstaikai.18.0_143

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  • 理学療法におけるEBMの実践技術を学ぶ : 小児疾患

    中野 尚子, 長谷川 武弘, 小西 行郎, 木原 秀樹, 多賀 厳太郎, 高谷 理恵子, 中野 純司

    理学療法学   30 ( 8 )   473 - 477   2003.12

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  • D-2 統計解析システムにおける並列分散処理機能の利用(企画セッション:ネットベースの統計環境の利用と応用)(2003年度統計関連学会連合大会記録(日本統計学会第71回大会))

    山本 由和, 中野 純司

    日本統計学会誌   33 ( 3 )   395 - 395   2003.12

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  • D-3 統計解析言語のインタプリタとその実装(企画セッション:ネットベースの統計環境の利用と応用)(2003年度統計関連学会連合大会記録(日本統計学会第71回大会))

    藤原 丈史, 中野 純司

    日本統計学会誌   33 ( 3 )   395 - 395   2003.12

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  • 統計解析システムにおける並列分散処理機能の利用

    山本 由和, 中野 純司

    日本統計学会講演報告集   71   166 - 167   2003.9

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  • 統計解析言語のインタプリタとその実装

    藤原 丈史, 中野 純司

    日本統計学会講演報告集   71   168 - 169   2003.9

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  • 理学療法におけるEBMの実践技術を学ぶ : 小児疾患 ( 第38回日本理学療法学術大会 )

    中野 尚子, 小西 行郎, 多賀 源太郎, 高谷 理恵子, 木原 秀樹, 中野 純司

    理学療法学   30 ( 1 )   91 - 91   2003.5

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  • 統計解析システム Jasp のデータマイニング機能の実装

    小林 郁典, 藤原 丈史, 山本 由和, 中野 純司

    日本計算機統計学会大会論文集   17 ( 17 )   65 - 68   2003.5

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    DOI： 10.20551/jscstaikai.17.0_65

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  • C-7 統計解析システムにおける並列分散処理機能の実現

    山本 由和, 中野 純司, 藤原 丈史, 小林 郁典

    日本統計学会誌   32 ( 3 )   359 - 360   2002.12

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  • A REGRESSION ANALYSIS SUPPORTING SYSTEM BASED ON EXTENDED OBJECTS

    Kobayashi Ikunori, Nakano Junji, Watanabe Katsumasa

    Bulletin of the Computational Statistics of Japan   14 ( 2 )   95 - 110   2002.9

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    We have developed a multiple regression analysis supporting system named RASS2. The aim of the system is to provide consulting mechanisms with high flexibility and extendibility to users. RASS2 is constructed with original objects as its basic components. Objects in RASS2 are extended objects, which include rules for representing knowledge of regression analysis techniques. Rules are described within the class definition. Each object suggests the best procedure according to the state of the analysis and negotiates with other object to resolve conflicts among their suggestions. Users can follow the suggestion or can execute other procedures. Compared with the earlier version of RASS, the objects make the system structure simple and modifications of statistical knowledge embedded in the system easy.

    DOI： 10.20551/jscswabun.14.2_95

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  • 統計解析システムにおける並列分散処理機能の実現

    山本 由和, 中野 純司, 藤原 丈史, 小林 郁典

    日本統計学会講演報告集   70   151 - 152   2002.9

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  • On the Special Issue "Using the Internet in Statistical Environments"

    49 ( 2 )   239 - 240   2001.12

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  • B-4 統計解析システムにおける分散処理機能(統計分野におけるインターネットの活用(1))(日本統計学会第69回大会記録)

    山本 由和, 中野 純司, 藤原 丈史, 小林 郁典

    日本統計学会誌   31 ( 3 )   408 - 408   2001.12

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  • 統計解析システムにおける分散処理機能

    山本 由和, 中野 純司, 藤原 丈史, 小林 郁典

    日本統計学会講演報告集   69   312 - 313   2001.9

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  • Javaに基づく統計システムの拡張可能性 (<招待セッション>ネットワークに基づくセミパラメトリック法)

    小林 郁典, 藤原 丈史, 山本 由和, 中野 純司

    日本計算機統計学会シンポジウム論文集   15 ( 15 )   18 - 18   2001.8

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    DOI： 10.20551/jscssymo.15.0_18

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  • The Language of a Statistical System Jasp

    Bulletin of the Computational Statistics of Japan   13 ( 2 )   141 - 141   2001.5

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  • Java言語による統計解析システムJasp[研究詳解] (特集 統計環境におけるインターネットの利用)

    藤原 丈史, 中野 純司, 山本 由和

    統計数理   49 ( 2 )   333 - 343   2001

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  • B-2 A mixed user interface for a statistical system(日本統計学会第68回大会記録 : 統計学におけるインターネットの高度利用 (2))

    山本 由和, 藤原 丈史, 中野 純司, 小林 郁典

    日本統計学会誌   30 ( 3 )   358 - 358   2000.12

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  • The language of a statistical system Jasp

    Fujiwara Takeshi, Nakano Junji, Yamamoto Yoshikazu, Kobayashi Ikunori

    Proceedings of the annual meeting of Japanese Society of Computational Statistics   14 ( 14 )   116 - 119   2000.5

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    A language is one of the fundamental bases of a statistical system. We design and implement a language for our statistical system Jasp to realize simple and intuitive syntax, easy interactive operation, advanced GUI and quick accessibility to all Java libraries. To implement Jasp language, we use Pnuts script language written in and for Java. We show that the object oriented framework of Java is useful for building and extending Jasp language and the pre-processor approach is effective and less time-consuming for adding new features.

    DOI： 10.20551/jscstaikai.14.0_116

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  • An Intelligent Object-oriented Programming Environment

    KOBAYASHI IKUNORI, NAKANO JUNJI, WATANABE KATSUMASA

    40 ( 10 )   77 - 77   1999.12

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  • 知的オブジェクト指向プログラミング環境

    小林 郁典, 中野 純司, 渡邊 勝正

    情報処理学会論文誌. プログラミング   40 ( 10 )   1999.12

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  • B-4 時系列解析システムTISASにおける分散処理機能の実現(日本統計学会第67回大会記録 : 統計科学情報の高度利用(2))

    山本 由和, 中野 純司

    日本統計学会誌   29 ( 3 )   401 - 401   1999.12

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  • エージェントによる重回帰分析の知識表現について(第12回日本計算機統計学会大会報告)

    小林 郁典, 中野 純司

    計算機統計学   11 ( 2 )   126 - 126   1999.10

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  • 統計学とデータマイニングに対する私見

    中野 純司

    日本計算機統計学会シンポジウム論文集   13 ( 13 )   32 - 35   1999.10

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    DOI： 10.20551/jscssymo.13.0_32

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  • 統計ソフトウエアのインターネット利用のためのインタフェース

    中野 純司

    日本行動計量学会大会発表論文抄録集   26   181 - 184   1998.9

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  • 時系列解析システム TISAS の新機能について

    山本 由和, 中野 純司

    日本統計学会講演報告集   66   411 - 412   1998.7

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  • エージェントによる重回帰分析の知識表現について

    小林 郁典, 中野 純司

    日本計算機統計学会大会論文集   12 ( 12 )   106 - 109   1998.5

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    DOI： 10.20551/jscstaikai.12.0_106

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  • エージェント指向の重回帰分析支援システムについて (第10回日本計算機統計学会シンポジウム報告)

    小林 郁典, 中野 純司

    計算機統計学   10 ( 1 )   70 - 70   1998.4

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  • 統計パッケ-ジSHAZAMのWWWインタフェ-ス (特集 統計ソフトウェアの新展開(2))

    中野 純司, White Kenneth J.

    統計数理   45 ( 1 )   41 - 47   1997

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  • A Programming Language of the Regression Analysis Supporting System RASS

    45 ( 1 )   1 - 11   1997

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  • エージェント指向の重回帰分析支援システムについて

    小林 郁典, 中野 純司

    日本計算機統計学会シンポジウム論文集   10 ( 10 )   32 - 35   1996.11

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    DOI： 10.20551/jscssymo.10.0_32

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  • MS-Windows版TIMSAC72のUNIXへの移植 (特集「計算統計学の発展」)

    山本 由和, 中野 純司, 田村 義保

    統計数理   43 ( 2 )   285 - 292   1995

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  • RASSにおけるプログラミング機能について (第6回日本計算機統計学会シンポジウム報告)

    中野 純司, 小林 郁典, 山本 由和

    計算機統計学   6 ( 1 )   72 - 72   1993.12

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  • RASSにおけるプログラミング機能について

    小林 郁典, 山本 由和, 中野 純司

    日本計算機統計学会シンポジウム論文集   6 ( 6 )   59 - 62   1992.10

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    DOI： 10.20551/jscssymo.6.0_59

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Presentations

  • A multiple correspondence analysis for aggregated symbolic data Invited International conference

    J. Nakano, N. Shimizu, Y. Yamamoto

    The 24th International Conference on Computational Statistics (COMPSTAT 2022)  ( Bologna, Italy (Online presentation) )   2022.8  European Regional Section of the IASC (International Association for Statistical Computing)

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  • Some Descriptive Statistics of Aggregated Symbolic Data Invited International conference

    Junji NAKANO, Nobuo SHIMIZU, Yoshikazu YAMAMOTO

    The 17th conference of the International Federation of Classification Societies  ( Porto, Portugal (online presentation) )   2022.7  International Federation of Classification Societies

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  • Visualizing characteristics of aggregated symbolic data Invited International conference

    Junji NAKANO, Yoshikazu YAMAMOTO, Nobuo SHIMIZU

    63rd World Statistics Conference  ( Web conference )   2021.7  International Statistical Institute

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  • A model to express citation relationships among academic papers International conference

    Yuichiro Yasui, Junji Nakano

    NETWORKS 2021  ( Web conference )   2021.7  International Network for Social Network Analysis and the Network Science Society

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  • A package for multiple precision arithmetic on R for statistical computing International conference

    Nakama, Ei-ji, COM-ONE Inc, Nakano, Junji ISM

    2019 Conference on Advanced Topics and Auto Tuning in High-Performance Scientific Computing  ( Kaohsiung 台湾 )   2019.2 

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  • 集約的シンボリックデータの変数選択

    清水 信夫, 統計数理研究所, 中野 純司, 統計数, 山本 由和, 徳島文理大

    統計関連学会連合大会  ( 名古屋 日本 )   2018.9 

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  • A study of the article citation network in statistics research community International conference

    Chang, LinHsuan, SOKENDAI, Nakano, Junji ISM, Phoa, Frederick Kin Hing, Academia Sinica (Taiw

    23rd International Conference on Computational Statistics (COMPSTAT 2018)  ( Iasi Romania )   2018.8 

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  • Interactive Visualization Of Aggregated Symbolic Data International conference

    Yamamoto, Yoshikazu, Tokushima Bunri, University, Nakano, Junji ISM, Shimizu, Nobuo ISM

    NZSA-IASC 2017  ( Auckland New Zealand )   2017.12 

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  • Dissimilarities Between Groups Of Data International conference

    Shimizu, Nobuo ISM, Nakano, Junji ISM, Yamamoto, Yoshikazu, Tokushima Bunri University

    NZSA-IASC 2017  ( Auckland New Zealand )   2017.12 

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  • A Package For Multiple Precision Floating- Point Computation On R International conference

    Nakano, Junji ISM

    NZSA-IASC 2017  ( Auckland New Zealand )   2017.12 

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  • Clustering aggregated symbolic data using pseudolikelihood International conference

    Nakano, Junji ISM

    Seminar at Dept. of Statistics, Soeul National Univ.  ( Soeul 大韓民国 )   2017.10 

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  • Rmpenv: A package for multiple precision floating-point computations on R for statistical computing International conference

    Nakano, Junji ISM

    ISM-ZIB-IMI MODAL Workshop  ( Berlin Germany )   2017.9 

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  • グループの特徴の可視化と対話的処理

    山本 由和, 中野 純司, 統計数, 清水 信夫, 統計数理研究

    統計関連学会連合大会  ( 名古屋 日本 )   2017.9 

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  • カテゴリー変数を含む集約的シンボリックデータのカイ2乗統計量

    清水 信夫, 統計数理研究所, 中野 純司, 統計数, 山本 由和, 徳島文理大

    統計関連学会連合大会  ( 名古屋 日本 )   2017.9 

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  • Analyzing citation network based on Web of Science

    張 菱軒, 中野 純司, 統計数, 藩 建興, 統計科学研究所, 中央研究員, 台湾

    統計関連学会連合大会  ( 名古屋 日本 )   2017.9 

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  • Dissimilarity by chi-squared statistic for aggregated symbolic data with continuous and categorical variables International conference

    Shimizu, Nobuo ISM, Nakano, Junji ISM, Yamamoto, Yoshikazu, Tokushima Bunri University

    The 2017 conference of the International Federation of Classification Societies  ( 東京 日本 )   2017.8 

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  • Interactive visualization of characteristics of groups International conference

    Yamamoto, Yoshikazu, Tokushima Bunri, University, Nakano, Junji ISM, Shimizu, Nobuo ISM

    The 2017 conference of the International Federation of Classification Societies  ( 東京 日本 )   2017.8 

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  • Dissimilarity of aggregated symbolic data by pseudolikelihood International conference

    Nakano, Junji, 統計数理研究所

    Seminar at Dept. of Economics, Univ. of Polto  ( Polto Portugal )   2017.7 

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  • Big data handling by R and Hadoop International conference

    中野 純司, 統計数理研究所

    Seminar at NCKU  ( 台南 台湾 )   2017.3 

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  • High performace computing on R International conference

    中野 純司, 統計数理研究所

    A high performance scientific computing conference  ( 台北 台湾 )   2017.3 

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  • カテゴリー変数をもつ集約的シンボリックデータのモデリング

    清水 信夫, 統計数理研究所, 中野 純司, 統計数, 山本 由和, 徳島文理大

    統計数理研究所共同利用研究 重点テーマ2「ビッグデータの統計数理」に関する研究会  ( 東京 日本 )   2017.2 

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  • Summarizing aggregated symbolic data with categorical variables International conference

    中野 純司, 統計数理研究所

    ISI-ISM-ISSAS joint conference 2017  ( Delhi India )   2017.2 

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  • サービス産業データへの集約的シンボリックデータ解析法の適用

    清水 信夫, 統計数理研究所, 中野 純司, 統計数, 山本 由和, 徳島文理大

    統計数理研究所サービス科学研究センター最終年度シンポジウム  ( 東京 日本 )   2017.1 

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  • Rにおけるさらに別の多倍長精度パッケージ

    中間 栄治, 株)COM-ONE, 中野 純司, 統計数理研究

    共同研究集会  ( 東京 日本 )   2016.10 

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  • Big data handling by R and Hadoop International conference

    中野 純司, 統計数理研究所

    The workshop for the Current Trends in Statistics  ( Seoul 大韓民国 )   2016.10 

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  • 集約的シンボリックデータの解析

    中野 純司, 統計数理研究所

    科研費研究集会  ( 東京 日本 )   2016.10 

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  • カテゴリー変数を含む集約的シンボリックデータの非類似度の性質

    清水 信夫, 統計数理研究所, 中野 純司, 統計数, 山本 由和, 徳島文理大

    統計関連学会連合大会  ( 金沢 日本 )   2016.9 

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  • A measure of dissimilarity between aggregated symbolic data with categorical variables International conference

    Nakano, Junji ISM

    ISI-ISM-ISSAS joint Conference 2016  ( Taipei Taiwan )   2016.2 

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  • Dissimilarity Between Aggregated Symbolic Data with Categorical Variables International conference

    Nakano, Junji ISM, Shimizu, Nobuo ISM, Yamamoto, Yoshikazu, Tokushima Bunri University

    2015 International Workshop for JSCS 30th Anniversary in Okinawa  ( 恩納村 日本 )   2015.10 

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  • カテゴリー変数をもつ集約的シンボリックデータの非類似度分解

    清水 信夫, 統計数理研究所, 中野 純司, 統計数, 山本 由和, 徳島文理大

    統計数理研究所共同利用研究 重点テーマ2「ビッグデータの統計数理」に関する研究会  ( 東京 日本 )   2015.10 

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  • ISM, Supercomputer and R International conference

    Nakano, Junji ISM

    ISM HPC on R Workshop  ( 立川 日本 )   2015.10 

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  • 連続変数とカテゴリー変数を含む集約的シンボリックデータの特徴抽出

    中野 純司, 統計数理研究所, 山本 由和, 徳島文, 清水 信夫, 統計数理研究

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

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  • 連続変数とカテゴリー変数を含む集約的シンボリックデータの特徴抽出

    中野 純司, 統計数理研究所, 山本 由和, 徳島文, 清水 信夫, 統計数理研究

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

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  • 集約的シンボリックデータの非類似度の利用

    清水 信夫, 統計数理研究所, 中野 純司, 統計数, 山本 由和, 徳島文理大

    統計関連学会連合大会  ( 岡山 日本 )   2015.9 

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  • Visualizing Aggregated Symbolic Data with Continuous and Categorical Variables International conference

    Nakano, Junji ISM, Shimizu, Nobuo ISM, Yamamoto, Yoshikazu, Tokushima Bunri University

    60th World Statistics Congress ISI2015  ( Rio de janeiro Brazil )   2015.7 

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  • Aggregated symbolic data with continuous and categorical variables and their visualization International conference

    Nakano, Junji ISM

    ISI-ISM-ISSAS joint Conference 2015  ( Tachikawa Japan )   2015.4 

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  • 連続変数の離散化による集約的シンボリックデータのクラスタリング

    清水 信夫, 統計数理研究所, 中野 純司, 統計数, 山本 由和, 徳島文理大

    統計数理研究所共同利用研究集会「質的データ分析への再接近－基本理解と周辺理論－」  ( 東京 日本 )   2015.3 

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  • 変数型が混在する場合の集約的シンボリックデータの階層的クラスタリング

    清水 信夫, 統計数理研究所, 中野 純司, 統計数, 山本 由和, 徳島文理大

    日本分類学会 第33回大会  ( 東京 日本 )   2015.3 

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  • Rhpc: An R package for High-Performance Computing International conference

    Nakama, Ei-ji, COM-ONE Inc, Nakano, Junji ISM

    Workshop on Distributed Computing in R  ( Palo Alto U.S.A. )   2015.1 

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  • カテゴリー変数を含む集約的シンボリックデータのクラスタリング

    清水 信夫, 統計数理研究所, 中野 純司, 統計数理研究所

    北海道大学情報基盤センター共同研究集会「ビッグデータ解析のためのシンボリックデータ解析法の研究」  ( 札幌 日本 )   2014.11 

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  • New dissimilarity measure for aggregated symbolic data with real and categorical variables International conference

    Shimizu, Nobuo ISM, Nakano, Junji ISM

    ICMSFM2014  ( Kuala Lumpur Malaysia )   2014.11 

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  • Simple and Easy Interactive Graphics for Data Visualization International conference

    Nakano, Junji ISM

    ISI Regional Statistics Conference 2014  ( Kuala Lumpur Malaysia )   2014.11 

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  • スーパーコンピュータと統計数理研究所

    中野 純司, 統計数理研究所

    統計数理研究所公開講演会  ( 東京 日本 )   2014.11 

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  • カテゴリー変数を含む集約的シンボリックデータの記述と可視化

    中野 純司, 統計数理研究所, 清水 信夫, 統計, 山本 由和, 徳島, 藤原 丈史, 東京情報大

    統計関連学会連合大会  ( 東京 日本 )   2014.9 

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  • カテゴリー変数をもつ集約的シンボリックデータの非類似度

    清水 信夫, 統計数理研究所, 中野 純司, 統計, 山本 由和, 徳島, 藤原 丈史, 東京情報大

    統計関連学会連合大会  ( 東京 日本 )   2014.9 

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  • Aggregated symbolic data description including real and categorical variables International conference

    Nakano, Junji ISM, Yamamoto, Yoshikazu, Tokushima Bunri, University, Shimizu, Nobuo ISM, Takeshi, Fujiwara Tokyo, Univ, rsity of, Information Sciences

    COMPSTAT 2014  ( Geneva Switzerland )   2014.8 

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  • Visualization of aggregated symbolic data with real and categorical variables International conference

    Nakano, Junji ISM, Yamamoto, Yoshikazu, Tokushima Bunri, University, Shimizu, Nobuo ISM

    2014 Workshop in Symbolic Data Analysis  ( Tapei Taiwan )   2014.6 

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  • Dissimilarity between aggregated symbolic data with real and categorical variables International conference

    Shimizu, Nobuo ISM, Nakano, Junji ISM, Yamamoto, Yoshikazu, Tokushima Bunri University

    2014 Workshop in Symbolic Data Analysis  ( Tapei Taiwan )   2014.6 

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  • 統計数理研究所統計思考院における人材育成

    中野 純司, 統計数理研究所

    第  ( 高松 日本 )   2013.12 

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  • Principal component analysis for aggregated symbolic data International conference

    Nakano, Junji, ISM, Yuichi, Mori Okayama Science Uni

    Applicable semiparametrics  ( Berlin Germany )   2013.10 

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  • カテゴリカル変数を含む集約的シンボリックデータの可視化

    山本 由和, 藤原 丈史, 東京, 中野 純司, 統計数理研

    統計関連学会連合大会  ( 大阪 日本 )   2013.9 

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  • スーパーパーサイエンスハイスクールなどの高校生に対する統計数理研究所の対応について

    中野 純司, 統計数理研究所

    統計関連学会連合大会  ( 大阪 日本 )   2013.9 

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  • 集約的シンボリックデータの非類似度

    清水 信夫, 統計数理研究所, 中野 純司, 統計数理研究所

    統計関連学会連合大会  ( 大阪 日本 )   2013.9 

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  • An extension of parallel coordinate plot for visualizing aggregated symbolic data International conference

    Yamamoto, Yoshikazu, Tokushima Bunri, University, Nakano, Junji ISM

    56th world statistics congress of the ISI  ( Hong Kong China )   2013.8 

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  • Clustering for aggregated symbolic data International conference

    Shimizu, Nobuo ISM, Nakano, Junji, ISM

    onference of the International Federation of Classification Societies  ( Tilburg Netherlands )   2013.7 

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  • Rhpc: A package for high-performance computing International conference

    Nakano, Junji, ISM, Nakama, Ei-ji, COM-ONE Inc

    The R User Conference 2013  ( Albacete Spain )   2013.7 

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  • 住宅検索サイトにおける閲覧行動の予測シミュレーション

    山本 由和, 清水 信夫, 統計, 藤原 丈史, 東京, 中野 純司, 統計数理研

    日本計算機統計学会第２７回大会  ( 弘前 日本 )   2013.5 

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  • MahoutとMySQLとRを利用した閲覧行動の予測

    山本 由和, 清水 信夫, 統計数理研究所, 中野 純司, 統計, 藤原 丈史, 東京情報大

    平成24年度データ解析コンペティション（日本計算機統計学会データ解析スタディグループ(CS-DAS)最終報告会）  ( 東京 日本 )   2013.2 

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  • Clustering based on normal mixture model for aggregated symbolic data International conference

    Shimizu, Nobuo ISM, Nakano, Junji, ISM

    ISI-ISM-ISSAS Joint conference 2013  ( Taipei Taiwan )   2013.1 

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  • Regression Analysis for aggregated symbolic data International conference

    Nakano, Junji, ISM

    3rd workshop in Symbolic Data Analysis  ( Madirid Spain )   2012.11 

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  • 統計数理研究所の最近の取り組み

    中野 純司, 統計数理研究所

    日本計算機統計学会第26 回シンポジウム  ( 東京 日本 )   2012.11 

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  • Some topics in computational statistics and statistical training International conference

    Nakano, Junji, ISM

    Forum "Math-for-Industry" 2012: Information Recovery and Discovery  ( Fukuoka Japan )   2012.10 

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  • 主成分分析のための平行座標プロットとその集約的シンボリックデータへの拡張

    山本 由和, 中野 純司, 統計数理研究所

    統計関連学会連合大会  ( 札幌 日本 )   2012.9 

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  • 集約的シンボリックデータの混合分布モデルに基づくクラスタリング

    清水 信夫, 統計数理研究所, 中野 純司, 統計数理研究所

    統計関連学会連合大会  ( 札幌 日本 )   2012.9 

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  • Regression analysis for aggregated symbolic data International conference

    Nakano, Junji, ISM

    The 2nd Institute of Mathematical Statistics Asia Pacific Rim Meeting  ( Tsukuba Japan )   2012.7 

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  • 可視化とネットワーク分析による閲覧・購買行動の解析

    山本 由和, 中野 純司, 統計, 藤原 丈史, 東京, 尾崎 皇彦, 徳島文理大

    日本計算機統計学会第２６回大会  ( 高松 日本 )   2012.5 

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  • Aggregated symbolic data analysis International conference

    Nakano, Junji, ISM

    International workshop on symbolic computation  ( Seoul Korea )   2012.2 

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  • Some analyses of aggregated symbolic data International conference

    Nakano, Junji, ISM

    ISM-ISI-ISSAS Joint Conference 2012  ( Tokyo Japan )   2012.2 

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  • A visualization of aggregated symbolic data International conference

    Yamamoto, Yoshikazu, Tokushima Bunri University, Nakano, Junji ISM, Fujiwara, Takeshi Tokyo, University og, Information Sciences

    Joint meeting of the 2011 Taipei international statistical symposium and 7th conference of the ARS of the IASC  ( Taipei 台湾 )   2011.12 

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  • 集約的シンボリックデータの可視化

    山本 由和, 中野 純司, 統計数理研究所

    2011年度統計関連学会連合大会  ( 福岡 日本 )   2011.9 

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  • Statistical Graphics for Aggregated Symbolic Data International conference

    Yamamoto, Yoshikazu, Tokushima Bunri, University, Nakano, Junji ISM

    The 58th World Statistics Congress  ( Dublin Ireland )   2011.8 

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  • Principal Component Analysis for Aggregated Symbolic Data International conference

    Nakano, Junji, ISM, Fukui, Akiyoshi Sokendai, Shimizu, Nobuo ISM

    WORKSHOP IN SYMBOLIC DATA ANALYSIS  ( Namur Belgium )   2011.6 

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  • 大量POSデータの可視化と解析

    山本 由和, 中野 純司, 統計, 藤原 丈史, 東京, 尾崎 皇彦, 徳島文理大

    日本計算機統計学会第２５回大会  ( 函館 日本 )   2011.5 

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  • Aggregated symbolic data analysis International conference

    Nakano, Junji, ISM

    International workshop on symbolic computation  ( Seoul Korea )   2011.2 

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  • 統計ライブラリのシステム間での利用とその実装

    藤原 丈史, 山本 由和, 徳島, 中野 純司, 統計数理研

    日本計算機統計学会第２４回シンポジウム  ( 箕面 日本 )   2010.11 

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  • Contemporary data visualization International conference

    Nakano, Junji, The Institute of, Statistical Mathematics

    The 6th IMT-GT Conference on Mathematics, Statistics and Their Applications  ( Kuala Lumpur Malaysia )   2010.11 

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  • シンボリックデータの可視化

    山本 由和, 中野 純司, 統計数理研究所

    統計関連学会連合大会  ( 東京 日本 )   2010.9 

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  • Data visualization and aggregation International conference

    Nakano, Junji, The Institute of, Statistical Mathematics, Yamamoto, Yoahikazu, Tokushima Bunri, University

    19th International Conference on Computational Statistics (COMPSTAT2010)  ( Paris France )   2010.8 

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  • Parallel Computing with R using GridRPC International conference

    Nakano, Junji, The Institute of, Statistical Mathematics, Nakama, Ei-ji, COM-ONE Ltd

    The R User Conference 2010  ( Gaithersburg U.S.A )   2010.7 

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  • 統計ソフトウェアRのメモリー管理における改良

    中野 純司, 統計数理研究所, 中間 栄治, COM-ONE

    日本計算機統計学会第２４回大会  ( 立川 日本 )   2010.5 

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  • シンボリックデータの可視化

    山本 由和, 中野 純司, 統計数理研究所

    統計関連学会連合大会  ( 東京 日本 )   2009.9 

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  • Parallel Computing with R using GridRPC International conference

    Nakano, Junji, The Institute of, Statistical Mathematics, Nakama, Ei-ji, COM-ONE Ltd

    The R User Conference 2010  ( Renne フランス共和国 )   2009.7 

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  • Recent Developments of Java-based Statistical Software: Jasp and Jasplot International conference

    Nakano, Junji, The Institute of, Statistical Mathematics

    The Fifth Statistics and Machine Learning Workshop  ( 台南 台湾 )   2009.4 

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  • Using Statistical Libraries in Different Statistical Systems International conference

    Takeshi Fujiwara, 者, Tokyo Univ. of, Information Sciences, Uwe Ziegenhagen, Humboldt, Univ. zu Berlin, Yoshikazu Yamamoto, Tokushima Bunri Univ, Junji Nakano, Wolfgang Haerdle, Humboldt, Univ. zu Berlin

    IASC2008  ( 横浜 日本 )   2008.12 

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  • Statistical Data Visualization Using OLAP Techniques International conference

    Ikunori Kobayashi, Tokushima Bunri Univ, Yoshikazu Yamamoto, Tokushima Bunri Univ, Junji Nakano

    IASC2008  ( 横浜 日本 )   2008.12 

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  • Web Functions in a Statistical Graphics Library International conference

    Yoshikazu Yamamoto, Tokushima Bunri Univ, Junji Nakano

    IASC2008  ( 横浜 日本 )   2008.12 

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  • 統計解析システムJaspにおける既存ライブラリの利用

    藤原丈史, 山本由和, 中野純司

    日本計算機統計学会第２２回シンポジウム  ( 神戸 日本 )   2008.11 

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  • Webを利用したRの並列計算環境

    中間英治, COM-ONE, 中野純司

    統計関連学会連合大会  ( 横浜 日本 )   2008.9 

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  • 統計グラフィックスライブラリのWeb機能

    山本由和, 徳島文理大, 中野純司

    統計関連学会連合大会  ( 横浜 日本 )   2008.9 

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  • カテゴリカルデータの可視化について

    山本由和, 徳島文理大, 小林郁典, 徳島文理大, 中野純司

    統計関連学会連合大会  ( 神戸 日本 )   2008.9 

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  • Speeding up R by using ISM-like calls International conference

    Ei-ji Nakama, COM-ONE Inc, Junji Nakano

    The R User Conference 2008  ( ドルトムント ドイツ )   2008.8 

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  • CCmaps and Parallel Coordinate Plot for Visualizing Geographical Data International conference

    Ikunori Kobayashi, Tokushima Bunri University, Yoshikazu Yamamoto, Tokushima Bunri University, Junji Nakano

    The 9th Japan-China Symposium on Statistics  ( Sapporo Japan )   2007.9 

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  • Geographical data visualization with linked statistical graphics International conference

    Ikunori Kobayashi, Tokushima Bunri University, Junji Nakano, Yoshikazu Yamamoto, Tokushima Bunri University, Jung Jin Lee, Soong Sil, University

    56th Session of the ISI  ( Lisboa Portugal )   2007.8 

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  • Parallel and distributed computing in a statistical system Jasp International conference

    Yoshikazu Yamamoto, Tokushima Bunri University, Junji Nakano

    The 2007 IASC-ARS Special Conference  ( Seoul 韓国 )   2007.6 

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  • 条件付き3次元平行座標プロットの格子表示

    本多啓介, 中野純司

    日本計算機統計学会  ( 倉敷 日本 )   2007.5 

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    Language：Japanese   Presentation type：Oral presentation (general)  

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  • 条件付き3次元平行座標プロットの格子表示

    本多啓介, 中野純司

    日本計算機統計学会  ( 倉敷 日本 )   2007.5 

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    Language：Japanese   Presentation type：Oral presentation (general)  

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Awards

  • Fellow

    2018.5   Japanese Society of Computational Statistics  

    中野純司

  • Software award (Development award)

    2009.5   Japanese Society of Computational Statistics   Jasp (Java based statistical processor)

    Junji NAKANO

Research Projects

  • Analysis and statistical modeling of citation graph for scientific articles

    Grant number：20K11715  2020.4 - 2025.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)  Chuo University

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    Grant amount： \3510000 （ Direct Cost: \2700000 、 Indirect Cost： \810000 ）

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  • 多変量季節調整法の研究・開発

    2018.4 - 2022.3

    科研費基盤研究(B) 

    北川 源四郎

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    Grant type：Competitive

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  • データ・理論・分析手法の統合によるマーケティングモデルの進化と理論構築

    2017.4 - 2021.3

    科研費基盤研究(A) 

    照井 伸彦, 東北大学経済学部

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    Grant type：Competitive

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  • 集約的シンボリックデータ解析の基礎構築

    2014.4 - 2019.3

    科研費基盤研究(C) 

    中野 純司

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    Authorship：Principal investigator  Grant type：Competitive

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  • 集約的シンボリックデータ解析の基礎構築

    2014.4 - 2018.3

    科研費基盤研究(C) 

    中野 純司

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    Grant type：Competitive

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  • A study of joint dimension reduction and clustering for heuristic considerations of large-scaled data

    Grant number：26330052  2014.4 - 2017.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)  Okayama University of Science

    Mori Yuichi, Adachi Kohei, Nakano Junji

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    Grant amount： \4810000 （ Direct Cost: \3700000 、 Indirect Cost： \1110000 ）

    The purpose of this study is to propose joint dimension reduction and clustering to deeply consider the features of data, particularly large-scales data. To do this, the followings are performed: gathering information in previous studies, reviewing dimension reduction (including variable selection), proposing dimension reduction and clustering dealing with mixed measurement level data, developing interactive interface, and improving computational efficiency. The study is successful to provide some methods that handle the complexity including mixture of measurement level in the context of principal components analysis, and that consider the features of data by heuristic thinking and trial and error using developed interactive interfaces and proposed acceleration algorithms in case where a huge number of computation is necessary such as large-scaled data processing and variable selection.

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  • Heuristic representation and effective reduction for large scaled and high dimensional information and its computational environments

    Grant number：22500265  2010 - 2012

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)  Okayama University of Science

    MORI Yuichi, IIZUKA Masaya, KURODA Masahiro, ADACHI Kohei, NAKANO Junji

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    Grant amount： \4290000 （ Direct Cost: \3300000 、 Indirect Cost： \990000 ）

    We discussed heuristic representation methods and effective computational algorithms for large scaled and high dimensional data in information visu- alization, data reduction, and variable selection problems. We developed a web-based graphics application which has an interactive interface using finger gestures on the touch-screen, a colored face graph which can represent a part of multiple variables by color, and an interactive tool to find useful rules in association analysis. We also studied accel- eration techniques in non-linear principal component analysis by applying an acceleration algorithm to qualitative variable selection problem which needs high computation cost and proposed a two-stage acceleration algorithm to get estimations more speedy. We confirmed that all tools work well for heuristic and intuitive observations and that our proposed ac- celeration algorithms provide good performances in numerical experiments.

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  • Statistical analysis system for supporting simulation and resampling

    Grant number：11480056  1999 - 2002

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)  Tokushima Bunri University

    YAMAMOTO Yoshikazu, KOBAYASHI Ikunori, SUGIHARA Masaaki, NISHIO Atsushi, FUJIWARA Takeshi

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    Grant amount： \11200000 （ Direct Cost: \11200000 ）

    The aim of this research is to build a statistical system which can support simulation and resampling methods with easy and simple operations through an advanced user interface and a useful programming language. Simulation and resampling methods are computer intensive statistical methods, and are especially useful for complicated statistical problems. However, few statistical analysis systems support these methods efficiently. Therefore, we have developed a prototype statistical system named Jasp (Java based Statistical System) that equips various effective features to support simulation and resampling methods.
    A Jasp language is a function-based programming language and has ability for object-oriented programming. Parallel and distributed computing abilities of Jasp can be easily used even by users who are not computer experts, and are especially useful for simulation and resampling methods to execute required huge amount of calculation by using several personal computer simultaneously by a simple program written in the Jasp language. The Jasp user interface, which has a graphical user interface and a character user interface, is designed for using the Jasp language easily. Jasp has a function to utilize statistical knowledge for analysis. Jasp has also flexible extensibility ; it is used, for example, to get a dataset in Microsoft Excel and to display graphs of other software packages.

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  • STATISTICAL Analysis System with Distributed processing Abilities Using Inernet

    Grant number：11680333  1999 - 2001

    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

    NAKANO Junji

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    Grant amount： \3100000 （ Direct Cost: \3100000 ）

    The aim of this research is to propose a statistical analysis system which can perform distributed processing using the Internet with easy and simple operations through an advanced graphical user interface. As statistical procedures should be used for real data by using computers, it is one of the important topics of statistics to make an easy and powerful statistical analysis system using recent progresses of computing technologies, especially the Internet related ones. Considering that amount of data have become very large in these days, distributed processing using many computers connected by the Internet is promising. In this research, we have made a prototype statistical system Jasp (JAva based Statistical Processor), which considered distributed processing abilities from the beginning of its design. Jasp is written in the Java language, a system construction language which has many recent developed computing technologies neatly, including functions for communications among remote computers. By using these Java technologies, we have realized a client/server architecture, distributed processing abilities, an easy graphical user interface and a simple statistical language. Therefore, Jasp has archived the airn of his research to some extent.
    .Jasp has, however, still some deficiencics : less reliability or lack of required functions. We will improve these deficiencies and will make Jasp a useful tool for statisticians.

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Allotted class

  • 2024   AI/Data Science and Modern Society   Department

  • 2024   Data Science   Department

  • 2024   Data Analysis   Department

  • 2024   Introductory Seminar   Department

  • 2024   Seminar II   Department

  • 2024   Seminar III   Department

  • 2024   Seminar IV   Department

  • 2024   Seminar V (Thesis Writing)   Department

  • 2024   Applied Statistics   Department

  • 2024   Mathematics   Department

  • 2024   Introduction to Statistics for Management   Department

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Committee Memberships

  • 2017 - 2019

    日本統計学会   監事  

  • 2015 - 2017

    日本統計学会   理事長  

  • 2014 - 2016

    International association for statistical computing   副会長  

  • 2013 - 2015

    日本統計学会   国際担当理事  

  • 2012 - 2013

    日本計算機統計学会   欧文誌編集委員  

  • 2011 - 2013

    International association for statistical computing   Chairperson of the Asian regional section  

  • 2007 - 2011

    Computational Statistics & Data Analysis   Associate editor  

  • 2007 - 2011

    Computational Statistics   Associate editor  

  • 2008 - 2010

    日本統計学会   評議員  

  • 2007 - 2009

    日本計算機統計学会   国際交流担当理事  

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