J-GLOBAL         Last updated: Jun 25, 2017 at 19:24
The Institute of Statistical Mathematics
Department of Mathematical Analysis and Statistical Inference
Job title
Doctor of Science(Hiroshima University), Master of Engineering


Graduate School, Division of Engineering Science, Osaka University
Faculty of Science, Osaka University

Published Papers

K. Omae, O. Komori and S.Eguchi
BMC Medical Genomics   9(53)    Aug 2016   [Refereed]
A. Notsu and S. Eguchi
Neural Computation   28(6) 1141-1162   Jun 2016   [Refereed]
Okamura H, Ikeda S, Morita T, Eguchi S.
Proceeding of National Academy of Science   113(14) 3838-3843   Apr 2016   [Refereed]
O. Komori, S. Eguchi, S. Ikeda, H. Okamura, M. Ichinokawa, S. Nakayama
Methods in Ecology and Evolution   7(2) 249-260   Feb 2016   [Refereed]
Takenouchi, Takashi, Komori, Osamu and Eguchi, Shinto
Entropy   17 5673-5694   Aug 2015   [Refereed]
Komori, Osamu, Eguchi, Shinto , Copas, John
Biometrics   71 404-416   Jun 2015   [Refereed]
S. Eguchi, O. Komori, A. Ohara
Entropy   16 3552-3572   Jun 2014   [Refereed]
Notsu, Akifumi Graduate University of Advanced Studies, Komori, Osamu Institute of Statistical Mathematics, Eguchi, Shinto Institute of Statistical Mathematics
Neural Computation   26 421-448   Feb 2014   [Refereed]
Ohara, Atsumi and Eguchi, Shinto
Entropy   15 4732-4747   Nov 2013   [Refereed]
Chen, P., Hung, H., Huang, S-Y.,, Komori, O. and Eguchi, S.
IEEE Journal of Selected Topics in Signal Processing   7 614-624   Aug 2013   [Refereed]
Naito, K. and Eguchi, S.
Machine Learning   90 29-57   Jan 2013   [Refereed]
Takenouchi, T., Komori, O and Eguchi , S.
Neural Computation   24 2789-2824   Jun 2012   [Refereed]
Eguchi, S., Komori, O. and Kato, S.
Entropy   13 1746-1764   Sep 2011   [Refereed]
Komori, O. and Eguchi, S.
BMC Bioinformatics   11 314(1-17)   Jun 2010   [Refereed]
Mollah, N., Sultana, N., Minami, M. and Eguchi, S.
Neural Networks   23 2   Mar 2010   [Refereed]
Eguchi, S. and Kato, S.
Entropy   12 262-274   Feb 2010   [Refereed]
John Copas and Shinto Eguchi
Journal of Royal Statistical Society Series B   72 193-217   Jan 2010   [Refereed]
Huang, S.-Y., Yeh, Y.-R.and Eguchi, S.
Neural Computation   21 3179-3213   Nov 2009   [Refereed]
Eguchi, S. and Yanagimoto, T.
Journal of Statistical Planning and Inference   138 3502-3511   Nov 2008   [Refereed]
Kawakita, Masanori Kyushu University, Eguchi, Shinto Institute of Statistical Mathematics
Neural Computation   20 2792-2838   Nov 2008   [Refereed]
Fujisawa, H. and Eguchi, S.
Journal of Multivariate Analysis   99 2053-2081   Oct 2008   [Refereed]
Takenouchi, T. , Eguchi, S., Murata, N. and Kanamori, T.
Neural Computation   20 1596-1630   Jun 2008   [Refereed]
Masayuki Henmi, Ryo Yoshida and Shinto Eguchi
Biometrika   94 985-991   Dec 2007   [Refereed]
Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi and Noboru Murata
Neural Computation   19 2183-2244   Jun 2007   [Refereed]
Masayuki Henmi, John B. and Shinto Eguchi
Biometrics   63 475-482   Jun 2007   [Refereed]
Shinto Eguchi and Takemi Yanagimoto
Journal of Statistical Planning and Inference   To appear    2007   [Refereed]
Nurul Haque Mollah, Mihoko Minami and Shinto Eguchi
Neural Computation   18 166-190   2006   [Refereed]
Ryuei Nishii and Shinto Eguchi
Journal of Multivariate Analysis   97 1997-2008   2006   [Refereed]
S. Eguchi and J. Copas
Journal of Multivariate Analysis   97 2034-2040   2006   [Refereed]
T. Fushiki, H. Fujisawaand S. Eguchi
BMC Bioinformatics   7(No.358)    2006   [Refereed]


Second order efficiency of minimum contrast estimators in a curued exponential family.
Annals of Statistics   11(3) 798-803   1983
A characterization of second order efficiency in a curved exponential family.
Annals of Institute of Statistical Mathematics   36 A(1) 199-206   1984
A differential geometric approach to Statistical inference on the basis of contrast fanctionals.
Hiroshima Mathematical Journal   15(2) 341-391   1985
A projection method of estimation for a subfamily of exponential families.
S. Eguchi.
Ann. Inst. Statist. Math.   38 A(1) 385-398   1986
A unified approach to improper solutions of maximum likelihood estimates.
S. Eguchi
J. Japan Statist. Soc.   19(1) 67-82   1989

Books etc

Spontaneous Learning for Data Distributions via Minimum Divergence
Eguchi, S., A. Notsu, O. Komori (Part:Contributor, One chapter (79-99))
Springer International Publishing   Jan 2017   ISBN:978-3-319-47058-0
Path Connectedness on a Space of Probability Density Functions
Eguchi, Shinto Institute of Statistical Mathematics, Komori, Osamu University of Fukui (Part:Contributor)
Oct 2015   ISBN:978-3-319-25040-3
Statistical and machine-learning methods for class prediction in high dimension
Komori, Osamu and Eguchi, Shinto (Part:Contributor)
Apr 2015   ISBN:978-1-4665-5816-8
A novel boosting algorithm for multi-task learning based on the Itakuda-Saito divergence
T Takenouchi, O Komori, S Eguchi (Part:Contributor, 230-237)
AIP Publishing 1641, 230   Jan 2015   ISBN:978-0-7354-1280-4
Geometry on positive definite matrices deformed by V-potentials and its submanifold structure
Ohara, A and Eguchi, S. (Part:Contributor, GSI 2015: Geometric Science of Information pp 615-624)
Springer: New York   May 2014   ISBN:978-3-319-05317-2
Information Divergence Geometry and the Application to Statistical Machine Learning
Eguchi, Shinto (Part:Contributor)
Springer International Publishing   Nov 2008   ISBN:978-0-387-84816-7
Supervised image classification of multispectral images based on statistical machine learning
CRC Press   Nov 2006   ISBN:9781439855966 - CAT# K12625
Statistical inference from observations with censoring and grouping for exponential families
VSP   1993   
Mo-ded-fidelity of marimum likelihoad estimation in a curved exponential family
Statistical distributions of test statistics (Narth Halland)   1985   

Conference Activities & Talks

Two paradigms in statistical prediction [Invited]
The International Conference on Bioinformatics and Biostatistics for Agriculture Health and Environment   21 Jan 2017   
Information Geometry associated with two generalized means [Invited]
Information Geometry and its applications IV   13 Jun 2016   
Information geometry and spontaneous data learning
Eguchi, Shinto Institute of Statistical Mathematics
Workshop on High-Dimensional Statistical Analysis   11 Dec 2015   
Path Connectedness on a Space of Probability Density Function
Eguchi, Shinto Institute of Statistical Mathematics, Komori, Osamu University of Fukui
Geometric Science of Information 2015   28 Oct 2015   
Spontaneous learning for data distributions via minimum divergence [Invited]
Eguchi, Shinto Institute of Statistical Mathematics
ICMS Workshop on Computational information geometry for image and signal processing   21 Sep 2015   

Research Grants & Projects

Local likelihood analysis
Statistical methodology of neural computation
Information geometry and Statistical Inference

Social Contribution

[Editor]  International Biometric Society  Oct 2015