Shinto EGUCHI

Profile Information

Affiliation: The Institute of Statistical Mathematics

Degree: Doctor of Science(Dec, 1984, Hiroshima University)

J-GLOBAL ID: 200901075630767413
researchmap Member ID: 1000034860

External link: https://sites.google.com/view/shinto-eguchi/

Shinto Eguchi is a Professor at the Department of Mathematical Analysis and Statistical Inference, Institute of Statistical Mathematics, Japan. His main focus is on the information geometry associated with divergence, cross entropy and entropy, including generalized minimum divergence and maximum entropy. Further, he is interested in those areas of statistics and machine learning in which information geometry plays a central role, and in statistical applications related to biostatistics, bioinformatics and ecology.

Research Interests

Research Areas

Research History

1995 - 1996

The Institute of Statistical Mathematics
1996

- 統計数理研究所教授
1990 - 1995

Shimane University
1988 - 1990

Shimane University
1984 - 1988

Faculty of Science, Hiroshima University

Education

- 1981

Osaka University
- 1981

Graduate School, Division of Engineering Science, Osaka University
- 1979

School of Science, Osaka University
- 1979

Faculty of Science, Osaka University

Committee Memberships

2019 - 2020

学会誌編集委員, International Biometric Society
2018 - 2019

Editor in Chief, Information Geometry, Springer
2018 - 2019

学会誌編集委員, International Biometric Society
2008 - 2011

理事, 日本統計学会

Awards

Sep, 2014

第 19 回日本統計学会賞, 統計学の様々な理論研究の発展に寄与するとともに，多くの研究者に影響を与えたこと．, 日本統計学会

江口真透
Sep, 2008

日本統計学会研究業績賞 (共同受賞), 論文業績：Local model uncertainty and incomplete data bias. J. Royal Statistical Society B, 67, 4 (2005), 日本統計学会

江口真透, John Copas

Papers

Statistical learning for species distribution models in ecological studies

Osamu Komori, Yusuke Saigusa, Shinto Eguchi

Japanese Journal of Statistics and Data Science, 6(2) 803-826, May 18, 2023
Area under the curve-optimized synthesis of prediction models from a meta-analytical perspective.

Daisuke Yoneoka, Katsuhiro Omae, Masayuki Henmi, Shinto Eguchi

Research synthesis methods, 14(2) 234-246, Nov 24, 2022
Active learning by query by committee with robust divergences

Hideitsu Hino, Shinto Eguchi

Information Geometry, Nov 21, 2022 Peer-reviewed
Generalized quasi-linear mixed-effects model

Yusuke Saigusa, Shinto Eguchi, Osamu Komori

Statistical Methods in Medical Research, 31(7) 1280-1291, Mar 14, 2022
Copula-based measures of asymmetry between the lower and upper tail probabilities

Shogo Kato, Toshinao Yoshiba, Shinto Eguchi

Statistical Papers, Mar 6, 2022
Novel robust time series analysis for long-term and short-term prediction.

Hiroshi Okamura, Yutaka Osada, Shota Nishijima, Shinto Eguchi

Scientific reports, 11(1) 11938-11938, Jun 7, 2021 Peer-reviewed
A Unified Formulation of k-Means, Fuzzy c-Means and Gaussian Mixture Model by the Kolmogorov–Nagumo Average

Osamu Komori, Shinto Eguchi

Entropy, 23(5) 518-518, Apr 24, 2021
Quasi-linear Cox proportional hazards model with cross- L1 penalty.

Katsuhiro Omae, Shinto Eguchi

BMC medical research methodology, 20(1) 182-182, Jul 6, 2020 Peer-reviewed
Sampling bias correction in species distribution models by quasi-linear Poisson point process.

Osamu Komori, Shinto Eguchi, Yusuke Saigusa, Buntarou Kusumoto, Yasuhiro Kubota

Ecological Informatics, 55, 2020 Peer-reviewed
Predicting precision matrices for color matching problem

Nakamoto, Takayoshi, Mazda Motor Corp, Nishii, Ryuei Kyushu, University, Eguchi, Shinto Institute of, Statistical Mathematics

International Journal of Mathematics for Industry, 11 10pages, May, 2019 Peer-reviewed
Target-based catch-per-unit-effort standardization in multispecies fisheries

Hiroshi Okamura, Shoko H. Morita, Tetsuichiro Funamoto, Momoko Ichinokawa, Shinto Eguchi

Canadian Journal of Fisheries and Aquatic Sciences, 75(3) 452-463, 2018 Peer-reviewed
Information geometry associated with generalized means

Shinto Eguchi, Osamu Komori, A. Ohara

Information geometry and its applications (IGAIA IV, Liblice, Czech Republic, 2016) (Nihat Ay et al. eds.) 279-295, Springer, 279-295, 2018 Peer-reviewed
Robust bias correction model for estimation of global trend in marine populations

Osamu Komori, Shinto Eguchi, Yusuke Saigusa, Hiroshi Okamura, Momoko Ichinokawa

Ecosphere, 8(12), Dec 1, 2017 Peer-reviewed
Robust bias correction model for estimation of global stock status in fishery

O. Komori, S. Eguchi, Y. Saigusa, H. Okamura, M. Ichinokawa

Ecosphere, 8(12) e02038, Dec, 2017 Peer-reviewed
Diurnal Transcriptome and Gene Network Represented through Sparse Modeling in Brachypodium distachyon

Satoru Koda, Yoshihiko Onda, Hidetoshi Matsui, Kotaro Takahagi, Yukiko Yamaguchi-Uehara, Minami Shimizu, Komaki Inoue, Takuhiro Yoshida, Tetsuya Sakurai, Hiroshi Honda …

FRONTIERS IN PLANT SCIENCE, 8(2055), Nov, 2017 Peer-reviewed
Target-based catch-per-unit-effort standardization in multispecies fisheries

H. Okamura, S. Hotta Morita, T. Funamoto, M. Ichinokawa, S. Eguchi

Canadian Journal of Fisheries and Aquatic Sciences, 999 1-12, Sep, 2017 Peer-reviewed
Quasi-linear score for capturing heterogeneous structure in biomarkers

K. Omae, O. Komori, S. Eguchi

BMC Bioinformatics, 18(308), Jul, 2017 Peer-reviewed
Information geometry of predictor functions in a regression model

Shinto Eguchi, Katsuhiro Omae

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10589 561-568, 2017 Peer-reviewed
Reproducible detection of disease-associated markers from gene expression data

Katsuhiro Omae, Osamu Komori, Shinto Eguchi

BMC MEDICAL GENOMICS, 9(53), Aug, 2016 Peer-reviewed
Robust Clustering Method in the Presence of Scattered Observations

Akifumi Notsu, Shinto Eguchi

NEURAL COMPUTATION, 28(6) 1141-1162, Jun, 2016 Peer-reviewed

Misc.

Multiple suboptimal solutions for prediction rules in gene expression data

Osamu Komori, Mari Pritchard, Shinto Eguchi

Computational and Mathematical Methods in Medicine, 2013, 2013
Geometry on Positive Definite Matrices Induced from V-Potential Function

A.Ohara, Shinto Eguchi

Geometric Science of Information (Frank Nielsen and Frederic Barbaresco eds.) Springer Lecture Notes in Computer Science, 8085 621-629, 2013
Boosting for density estimation based on U loss function

KOMORI Osamu, NAITO Kanta, EGUCHI Shinto

IEICE technical report, 110(265) 73-82, Oct 28, 2010
内部格付手法における回収率・期待損失の統計型モデル--実績回収率データを用いたEL・LGD推計

三浦翔, 山下智志, 江口真透

FSAリサーチ・レビュー, (6) 174-205, Mar, 2010
AUCを用いた格付予測評価指標と重み付き最適化

三浦翔, 山下智志, 江口真透

定量的信用リスク評価とその応用, 津田博史・中妻照雄・山田雄二編, 朝倉書店, 2010
ブースティング

江口真透

医学統計学の辞典, 2010 Invited
Comment on `Riemann manifold Langevin and Hamiltonian Monte Carlo methods'. M. Girolami, B. Calderhead

S. Eguchi

J. Roy. Statist. Soc. B 73, 2010
信用リスクスコアリングにおけるAUC、AR値の最大化とモデル安定化

三浦翔, 山下智志, 江口真透

FSAリサーチ・レビュー, (5) 129-148, Mar, 2009
t値を最大にする判別関数のブースティング法

江口真透

2009年度統計関連学会連合大会報告集, 287, 2009
ゲノム・プロテオミクスデータを用いた予測解析: 機械学習による新しい統計的手法

小森理, 江口真透

日本統計学会誌 38巻シリーズJ 2号, 38(J2) 199-212, 2009 Peer-reviewedInvited
Artificial Intelligence Methods and Statistical Thinking for Risk Sciences : Artificial Intelligence and Statistical Thinking(<Special Issue>Risk Sciences as Fusion of Statistical and Information Sciences)

EGUCHI Shinto, Shinto Eguchi, Research Organization of Information and System The Institute of Statistical Mathematics

Journal of Japanese Society for Artificial Intelligence, 22(5) 656-662, Sep 1, 2007
Local likelihood regression of acoustic logging data with adaptive selection of multiple bandwidth

WATANABE Shin'ichi, MINAMI Mihoko, EGUCHI Shinto

57(5) 535-544, Oct 1, 2004
Robust Boosting and Loss Functions

KANAMORI Takafumi, TAKENOUCHI Takashi, EGUCHI Shinto, MURATA Noboru

IEICE technical report. Neurocomputing, 104(225) 1-6, Jul 19, 2004
The influence function of principal component analysis by self-organizing rule

Higuchi, I, S Eguchi

NEURAL COMPUTATION, 10(6) 1434-1444, Aug, 1998
A class of local likelihood methods and near-parametric asymptotics

S Eguchi, J Copas

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 60(4) 709-724, 1998
6 自己組織化法則による主成分分析のロバストネス

樋口勇夫, 江口真透

日本行動計量学会大会発表論文抄録集, 24 16-17, Sep 6, 1996
Pharmacokinetic parameter estimations by minimum relative entropy method

T Amisaki, S Eguchi

JOURNAL OF PHARMACOKINETICS AND BIOPHARMACEUTICS, 23(5) 479-494, Oct, 1995
Further discussion of second order efficiency for estimation.

S.Eguchi

Questio, 17(1) 347-364, 1993
Geometry of minimum contrast

EGUCHI S.

Hiroshima Math.J., 22(3) 631-647, 1992
The projection method for accelerated life test model in bivariate exponential distributions.

S. Eguchi

Hiroshima Math. J, 22(1) 185-193, 1992

Books and Other Publications

Statistical Methods for Imbalanced Data in Ecological and Biological Studies

Komori, Osamu Seikei, University, Eguchi, Shinto Institute of, Statistical Mathematics

Jul, 2019
Information Geometry Associated with Generalized Means

Eguchi, Shinto, Institute of, Statistical Mathematics, Ohara, Atsumi University of Fukui, Komori, Osamu Institute of, Statistical Mathematics

Oct, 2018
Information Geometry of Predictor Functions in a Regression Model

Eguchi, Shinto, Institute of, Statistical Mathematics, Omae, Katsuhiro, Graduate, University of, Advanced Studies

Oct, 2017
Spontaneous Learning for Data Distributions via Minimum Divergence

Eguchi, S, A. Notsu, O. Komori (Role: Contributor, One chapter (79-99))

Springer International Publishing, Jan, 2017 (ISBN: 9783319470580)
Path Connectedness on a Space of Probability Density Functions

Eguchi, Shinto, Institute of, Statistical Mathematics, Komori, Osamu University of Fukui (Role: Contributor)

Oct, 2015 (ISBN: 9783319250403)
Statistical and machine-learning methods for class prediction in high dimension

Komori, Osamu, Eguchi, Shinto (Role: Contributor)

Apr, 2015 (ISBN: 9781466558168)
A novel boosting algorithm for multi-task learning based on the Itakuda-Saito divergence

T Takenouchi, O Komori, S Eguchi (Role: Contributor, 230-237)

AIP Publishing 1641, 230, Jan, 2015 (ISBN: 9780735412804)
Geometry on positive definite matrices deformed by V-potentials and its submanifold structure

Ohara, A, Eguchi, S (Role: Contributor, GSI 2015: Geometric Science of Information pp 615-624)

Springer: New York, May, 2014 (ISBN: 9783319053172)
Information Divergence Geometry and the Application to Statistical Machine Learning

Eguchi, Shinto (Role: Contributor)

Springer International Publishing, Nov, 2008 (ISBN: 9780387848167)
Supervised image classification of multispectral images based on statistical machine learning

(Role: Contributor)

CRC Press, Nov, 2006 (ISBN: 9781439855966)
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

Presentations

184

さまざまな研究パラダイムをつなぐ情報幾何

江口真透, 統計数理研究所

第10回横幹連合コンファレンス, Dec 1, 2019
一般化平均を用いた非正規な混合効果モデル

三枝祐輔, 横浜市立大, 小森理, 江口真透, 統計数理研

統計関連学会連合大会, Sep 11, 2019
正定値行列の一般化平均 ─色認知空間上の楕円予測─

江口真透, 統計数理研究所, 中本, 尊元, マツダ, 西井, 龍映, 長崎大

統計関連学会連合大会, Sep 11, 2019
動的治療計画の最近の進展と今後の展望

江口真透, 統計数理研究所

統計関連学会連合大会, Sep 10, 2019
Power-IDI：IDIに基づく予測能改善の定量化

林賢一, 江口真透, 統計数理研究

統計関連学会連合大会, Sep 10, 2019
一般化平均を使ったモデル，ダイバージェンス，ロス関数

江口真透, 統計数理研究所

九州大学統計科学セミナー, Dec 13, 2018
一般化平均を使った統計方法

江口真透, 統計数理研究所

科研費研究集会, Nov 23, 2018
統計モデリングのための一般化平均

江口真透, 統計数理研究所

ミニワークショップ統計多様体の幾何学とその周辺 (10), Nov 17, 2018
最小ダイバージェンス幾何

江口真透, 統計数理研究所

ミニワークショップ統計多様体の幾何学とその周辺 (10), Nov 16, 2018
一般化混合モデルの提案とその統計的性質

江口真透, 統計数理研究所

応用統計ワークショップ, Oct 5, 2018
一般化エネルギー関数に基づくクラスター分析

小森理, 江口真透, 統計数理研究

統計関連学会連合大会, Sep 12, 2018
混合ハザードモデル

大前勝弘, 江口真透, 統計数理研究

統計関連学会連合大会, Sep 12, 2018
異なるモデルの尤度関数の結合

江口真透, 統計数理研究所, 竹之内高志

統計関連学会連合大会, Sep 12, 2018
一般化平均によるモデルと推定

江口真透, 統計数理研究所

科研費シンポジュウム「統計学, 機械学習の数理とその応用」, Sep 21, 2017
生態デ−タのためポアソン点過程−準線形モデリング−

小森理, 三枝祐輔, 横浜, 江口真透, 統計数理研

統計関連学会連合大会, Sep 6, 2017
一般化ガンマクラスタリングについて

野津昭文, 大前勝弘, 総合研, 江口真透, 統計数理研究

統計関連学会連合大会, Sep 5, 2017
一般化平均を用いたコックス比例ハザードモデルの拡張

大前勝弘, 江口真透, 統計数理研究所

統計関連学会連合大会, Sep 5, 2017
擬似線形関数に基づくクラスタ毎の異質性を考慮した回帰モデル

林賢一, 江口真透, 統計数理研究

統計関連学会連合大会, Sep 5, 2017
回帰モデルの予測関数の情報幾何

江口真透, 統計数理研究所, 大前勝弘

統計関連学会連合大会, Sep 5, 2017
Generalized Boltzmann machines related to activation functions

Feb 18, 2017

Professional Memberships

Research Projects

Dynamic β-Maxentによる生物多様性予測とそのアプリケーション実装

科学研究費助成事業, 基盤研究(C), 日本学術振興会, Apr, 2022 - Mar, 2027

小森理, 江口真透, 久保田康裕
異なるデータを統合する一般化平均による統計予測法の開発実用化

科研費基盤研究(B), Apr, 2018 - Mar, 2023

江口真透
個別化医療のための人工知能・深層学習に対する統計学的評価法の開発

科研費基盤研究(B), Apr, 2019 - Mar, 2022

松浦正明
新たなデータ融合型深層学習手法に基づくびまん性肺疾患診断法の確立

科研費基盤研究(C), Apr, 2018 - Mar, 2022

小森理
予測医学の実現に向けたオミックスデータに基づく統計学的方法の開発

科研費基盤研究(B), Apr, 2015 - Mar, 2018

松浦正明
生態学的ビッグデータを基盤とした生物多様性パターンの予測と自然公園の実行力評価

環境研究総合推進費, Apr, 2015 - Mar, 2018

久保田, 康裕
ゲノム・オミックスデータ解析の安定化のための統計的方法論

科研費基盤研究(B), Apr, 2013 - Mar, 2018

江口真透
海洋生態学と機械学習法の融合によるデータ不足下の生態系評価手法の開発

CREST, Oct, 2012 - Mar, 2017

岡村寛, 独立行政法人水産総合研究センター
イメージングマススペクトロメトリーのための統計解析法の開発

科研費基盤研究(B), Apr, 2012 - Mar, 2015

松浦正明
Developments of mathematical statistics through computational algebraic methods

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (A), Japan Society for the Promotion of Science, Apr, 2010 - Mar, 2014

TAKEMURA Akimichi, AOKI Satoshi, IWASAKI Manabu, EGUCHI Shinto, OHSUGI Hidefumi, KAMIYA Hidehiko, KURIKI Satoshi, KOMAKI Fumiyasu, SAKATA Toshio, TANIGUCHI Masanobu, HARA Hisayuki, HIBI Takayuki, YOSHIZOE Yasuto
先端医療技術の開発における臨床試験の計画と統計解析に関する研究

科研費基盤研究(A), Apr, 2012 - Mar, 2013

松井茂之, 統計数理研究所
ゲノムデータからの予測・発見・推論の統合化のための統計学と機械学習の融合

科研費基盤研究(A), Apr, 2008 - Mar, 2013

江口真透
前向き臨床研究等のデータを用いた薬剤奏効性・安全性のシグナル検出のための技術開発と、それに必要な大規模データベースの実証的構築

医薬基盤研究所保健医療分野における基礎研究推進事業, Jan, 2007 - Mar, 2011

藤田利治, 統計数理研究所
Research of classification methods of hyper-spectral data, elucidation of the theoretical nature and applications to real data

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, 2007 - 2010

NISHII Ryuei, KONISHI Sadanori, SAKATA Toshio, QIN Pan, NINOMIYA Yoshiyuki, MASUDA Hiroki, TANAKA Shojiro, SHIMIZU Kunio, EGUCHI Shinto, UCHIDA Masayuki
臨床オミックスデータに基づく疾患メカニズム関連因子探索のための統計的方法論の開発

科研費基盤研究(B), Apr, 2007 - Mar, 2009

松浦正明, 癌研究会
ゲノム多様性解析のための新しい統計的方法

科研費基盤研究(B), Apr, 2004 - Mar, 2008

江口真透
Development of Statistical methodology for searching disease related factors based on proteomic and clinical information

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, 2004 - 2005

MATSUURA Masaaki, HOSHIKAWA Yutaka, MIYATA Satoshi, USHIJIMA Masaru, MIKI Yoshio, EGUCHI Shinto
マイクロアレイデータからの関連遺伝子抽出のためのブリッジング・スタディー

科学研究費助成事業, 萌芽研究, 日本学術振興会, 2003 - 2004

江口真透, 南美穂子, 藤澤洋徳, 松浦正明, 宮田敏, 牛嶋大
Discriminant analysis of spatial data based on fusion of Markov random fields and machine learning

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, 2003 - 2004

NISHII Ryuei, ASANO Akira, IIKURA Yoshikazu, EGUCHI Shinto, SAKATA Toshio, TANAKA Shojiro
Fusion of Statistics, Neural-Net, Machine Learning

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, 2001 - 2003

EGUCHI Shinto, KANAMORI Takafumi, FUJISAWA Hironori, MINAMI Mihoko, MATSUURA Masaaki, MURATA Noboru

Media Coverage

Information Geometry

Springer, Apr, 2017 Promotional material
Associate Editor, Biometrics

International Biometric Society, Oct, 2015 Promotional material
Associate Editor, Annals of Institute Statistical Mathematics

1996