S. Eguchi

发表

Local sensitivity approximations for selectivity bias

J. Copas, S. Eguchi, 2001 .

Information Geometry and Statistical Pattern Recognition

S. Eguchi, 2004 .

Robust parameter estimation with a small bias against heavy contamination

S. Eguchi, H. Fujisawa, 2008 .

Importance Sampling Via the Estimated Sampler

S. Eguchi, M. Henmi, R. Yoshida, 2007 .

Interpreting Kullback-Leibler divergence with the Neyman-Pearson lemma

J. Copas, S. Eguchi, 2006 .

A class of logistic‐type discriminant functions

J. Copas, S. Eguchi, 2002 .

A paradox concerning nuisance parameters and projected estimating functions

S. Eguchi, M. Henmi, Masayuki Henmi, 2004 .

Second Order Efficiency of Minimum Contrast Estimators in a Curved Exponential Family

S. Eguchi, 1983 .

A differential geometric approach to statistical inference on the basis of contrast functionals

S. Eguchi, 1985 .

Geometry of minimum contrast

S. Eguchi, 1992 .

An introduction to the predictive technique AdaBoost with a comparison to generalized additive models

S. Eguchi, Mihoko Minami, C. Lennert‐Cody, 2005 .

A Comparison of Methods for Estimating Individual Pharmacokinetic Parameters

Shinto Eguchi, Takashi Amisaki, S. Eguchi, 1999, Journal of Pharmacokinetics and Biopharmaceutics.

Maximum Regularized Likelihood Estimator of Finite Mixtures with a Structural Model

S. Eguchi, K. Yoshioka, 2010 .

An asymmetric logistic regression model for ecological data

S. Eguchi, O. Komori, H. Okamura, 2016 .

Quasi-linear Cox proportional hazards model with cross- L1 penalty

S. Eguchi, Katsuhiro Omae, 2020, BMC Medical Research Methodology.

Robust Independent Component Analysis via Minimum Divergence Estimation

S. Eguchi, Pengwen Chen, Su-Yun Huang, 2012, 1210.5578.

Diurnal Transcriptome and Gene Network Represented through Sparse Modeling in Brachypodium distachyon

Shinto Eguchi, Hiroshi Honda, Ryuei Nishii, 2017, Front. Plant Sci..

Robust Clustering Method in the Presence of Scattered Observations

Shinto Eguchi, Akifumi Notsu, S. Eguchi, 2016, Neural Computation.

Recent developments in discriminant analysis from an information geometric point of view

Shinto Eguchi, S. Eguchi, 2001 .

Local model uncertainty and incomplete-data bias

Ernst Wit, Vilda Purutçuoğlu, Shinto Eguchi, 2005 .

Local model uncertainty and incomplete‐data bias (with discussion)

Shinto Eguchi, J. Copas, S. Eguchi, 2005 .

U-boosting method for classification and information geometry

Shinto Eguchi, S. Eguchi, 2002 .

Geometry on Positive Definite Matrices Deformed by V-Potentials and Its Submanifold Structure

Shinto Eguchi, Atsumi Ohara, A. Ohara, 2014 .

Information Geometry Associated with Generalized Means

Shinto Eguchi, Atsumi Ohara, Osamu Komori, 2016 .

Duality in a maximum generalized entropy model

A. Ohara, S. Eguchi, O. Komori, 2015 .

Generalized t‐statistic for two‐group classification

J. Copas, S. Eguchi, O. Komori, 2015, Biometrics.

Supervised image classification of multi-spectral images based on statistical machine learning

Shinto Eguchi, Ryuei Nishii, S. Eguchi, 2006 .

Image classification based on Markov random field models with Jeffreys divergence

Shinto Eguchi, Ryuei Nishii, S. Eguchi, 2006 .

Weighted Logistic Regression

S. Eguchi, O. Komori, 2019, Statistical Methods for Imbalanced Data in Ecological and Biological Studies.

Identifying haplotype block structure using an ancestor-derived model

S. Eguchi, H. Fujisawa, Y. Miki, 2007, Journal of Human Genetics.

Spontaneous Learning for Data Distributions via Minimum Divergence

S. Eguchi, O. Komori, Akifumi Notsu, 2017 .

Robust estimation of location and concentration parameters for the von Mises–Fisher distribution

S. Eguchi, Shogo Kato, 2012, 1201.6476.

Boosting method for local learning

S. Eguchi, Masanori Kawakita, 2006 .

Introduction to Imbalanced Data

S. Eguchi, O. Komori, 2019, Statistical Methods for Imbalanced Data in Ecological and Biological Studies.

Individualized prostate-specific antigen threshold values to avoid overdiagnosis of prostate cancer and reduce unnecessary biopsy in elderly men.

S. Eguchi, K. Nakagawa, O. Komori, 2014, Japanese journal of clinical oncology.

Robust self-tuning semiparametric PCA for contaminated elliptical distribution

S. Eguchi, Hung Hung, Su‐Yun Huang, 2022, 2206.03662.

Target-based catch-per-unit-effort standardization in multispecies fisheries

S. Eguchi, H. Okamura, M. Ichinokawa, 2018 .

Maximum power entropy method for ecological data analysis

S. Eguchi, O. Komori, 2015 .

Common Peak Approach Using Mass Spectrometry Data Sets for Predicting the Effects of Anticancer Drugs on Breast Cancer

Shinto Eguchi, Takuji Iwase, Masaaki Matsuura, 2007, Cancer informatics.

Risk assessment of radioisotope contamination for aquatic living resources in and around Japan

Shiro Ikeda, Shinto Eguchi, Hiroshi Okamura, 2016, Proceedings of the National Academy of Sciences.

Local Parametric Modeling via U-Divergence

S. Eguchi, 2004 .

Minimum information divergence of Q-functions for dynamic treatment resumes

S. Eguchi, 2022, Information Geometry.

Active learning by query by committee with robust divergences

S. Eguchi, H. Hino, 2022, Information Geometry.

Strong model dependence in statistical analysis: goodness of fit is not enough for model choice

J. Copas, S. Eguchi, 2018, Annals of the Institute of Statistical Mathematics.

A characterization of second order efficiency in a curved exponential family

S. Eguchi, 1984 .

Robust estimation of location and concentration parameters for the von Mises–Fisher distribution

S. Eguchi, Shogo Kato, 2014, Statistical Papers.

Asymptotical improvement of maximum likelihood estimators on Kullback–Leibler loss

S. Eguchi, T. Yanagimoto, 2008 .

A Unified Formulation of k-Means, Fuzzy c-Means and Gaussian Mixture Model by the Kolmogorov–Nagumo Average

S. Eguchi, O. Komori, 2021, Entropy.

Modeling Late Entry Bias in Survival Analysis

Shinto Eguchi, Masaaki Matsuura, S. Eguchi, 2005, Biometrics.

Robust Composite Interval Mapping for QTL Analysis by Minimum beta-Divergence Method

Md. Nurul Haque Mollah, Shinto Eguchi, S. Eguchi, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Robust estimation in the normal mixture model

Shinto Eguchi, Hironori Fujisawa, S. Eguchi, 2006 .

Robust Independent Component Analysis via Minimum $\gamma $-Divergence Estimation

Su-Yun Huang, Pengwen Chen, Shinto Eguchi, 2013, IEEE Journal of Selected Topics in Signal Processing.

Adaptively robust blind audio signals separation by the minimum β-divergence method

S. Eguchi, M.N.H. Mollah, S. Eguchi, 2007, 2007 10th international conference on computer and information technology.

Machine Learning Methods for Imbalanced Data

Shinto Eguchi, Osamu Komori, S. Eguchi, 2019, Statistical Methods for Imbalanced Data in Ecological and Biological Studies.

Quasi-linear score for capturing heterogeneous structure in biomarkers

Shinto Eguchi, Osamu Komori, Katsuhiro Omae, 2017, BMC Bioinformatics.

SNEP: Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip

Nori Kurata, Shinto Eguchi, Hironori Fujisawa, 2009, BMC Bioinformatics.

Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods

Shinto Eguchi, Ryuei Nishii, S. Eguchi, 2005, IEEE Transactions on Geoscience and Remote Sensing.

Boosting Method for Local Learning in Statistical Pattern Recognition

Shinto Eguchi, Masanori Kawakita, S. Eguchi, 2008, Neural Computation.

Robust Boosting Algorithm Against Mislabeling in Multiclass Problems

Takafumi Kanamori, Noboru Murata, Shinto Eguchi, 2008, Neural Computation.

Genotyping of single nucleotide polymorphism using model-based clustering

Satoshi Miyata, T. Muto, Shinto Eguchi, 2004, Bioinform..

Generalized quasi-linear mixed-effects model

S. Eguchi, O. Komori, Yusuke Saigusa, 2022, Statistical methods in medical research.

The power‐integrated discriminant improvement: An accurate measure of the incremental predictive value of additional biomarkers

Kenichi Hayashi, Shinto Eguchi, S. Eguchi, 2019, Statistics in medicine.

Area under the curve‐optimized synthesis of prediction models from a meta‐analytical perspective

S. Eguchi, M. Henmi, D. Yoneoka, 2022, Research synthesis methods.

Supervised image classification in Markov random field models with Jeffreys divergence

Shinto Eguchi, Ryuei Nishii, 西井龍映, 2004 .

Supervised image classification based on adaboost with contextual weak classifiers

Shinto Eguchi, Ryuei Nishii, S. Eguchi, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Entropy and Divergence Associated with Power Function and the Statistical Application

Shogo Kato, Shinto Eguchi, S. Eguchi, 2010, Entropy.

An Extension of the Receiver Operating Characteristic Curve and AUC-Optimal Classification

Shinto Eguchi, Takashi Takenouchi, Osamu Komori, 2012, Neural Computation.

Pythagoras theorem in information geometry and applications to generalized linear models

S. Eguchi, 2021, Handbook of Statistics.

Information Geometry of U-Boost and Bregman Divergence

Takafumi Kanamori, Noboru Murata, Shinto Eguchi, 2004, Neural Computation.

Robust Loss Functions for Boosting

Takafumi Kanamori, Noboru Murata, Shinto Eguchi, 2007, Neural Computation.

Novel robust time series analysis for long-term and short-term prediction

Shota Nishijima, Shinto Eguchi, Hiroshi Okamura, 2021, Scientific Reports.

Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters

Shinto Eguchi, Isao Higuchi, S. Eguchi, 2004, J. Mach. Learn. Res..

Likelihood for statistically equivalent models

J. Copas, S. Eguchi, 2010 .

Information Divergence Geometry and the Application to Statistical Machine Learning

Shinto Eguchi, S. Eguchi, 2009 .

On the bound of statistical inference for observational data

S. Eguchi, 2008 .

Pharmacokinetic parameter estimations by minimum relative entropy method

S. Eguchi, T. Amisaki, 1995, Journal of Pharmacokinetics and Biopharmaceutics.

Robust Blind Source Separation by Beta Divergence

Mihoko Minami, Shinto Eguchi, S. Eguchi, 2002, Neural Computation.

Sampling bias correction in species distribution models by quasi-linear Poisson point process

Shinto Eguchi, Osamu Komori, Buntarou Kusumoto, 2020, Ecol. Informatics.

Robust QTL analysis by minimum beta-divergence method

Md. Nurul Haque Mollah, Shinto Eguchi, S. Eguchi, 2010, Int. J. Data Min. Bioinform..

Robust extraction of local structures by the minimum beta-divergence method

Mihoko Minami, Md. Nurul Haque Mollah, Shinto Eguchi, 2010, Neural Networks.

Robust bias correction model for estimation of global trend in marine populations

S. Eguchi, O. Komori, H. Okamura, 2017 .

Identification of biomarkers from mass spectrometry data using a "common" peak approach

Shinto Eguchi, Hironori Fujisawa, Tadayoshi Fushiki, 2006, BMC Bioinformatics.

Path Connectedness on a Space of Probability Density Functions

Shinto Eguchi, Osamu Komori, S. Eguchi, 2015, GSI.

Confidence Intervals and P‐Values for Meta‐Analysis with Publication Bias

Shinto Eguchi, Masayuki Henmi, J. Copas, 2007, Biometrics.

On the launch of the journal Information Geometry

Shinto Eguchi, S. Eguchi, 2018, Information Geometry.

Duality of Maximum Entropy and Minimum Divergence

Shinto Eguchi, Atsumi Ohara, Osamu Komori, 2014, Entropy.

Multiple Suboptimal Solutions for Prediction Rules in Gene Expression Data

Shinto Eguchi, Osamu Komori, Mari Pritchard, 2013, Comput. Math. Methods Medicine.

Exploring Latent Structure of Mixture ICA Models by the Minimum -Divergence Method

Mihoko Minami, Md. Nurul Haque Mollah, Shinto Eguchi, 2006, Neural Computation.

Robust Prewhitening for ICA by Minimizing β-Divergence and Its Application to FastICA

Mihoko Minami, Md. Nurul Haque Mollah, Shinto Eguchi, 2007, Neural Processing Letters.

Robust minimum divergence estimation in a spatial Poisson point process

S. Eguchi, O. Komori, Yusuke Saigusa, 2023, Ecol. Informatics.

Minimum Divergence Methods in Statistical Machine Learning

S. Eguchi, O. Komori, 2022 .

Copula-based measures of asymmetry between the lower and upper tail probabilities

S. Eguchi, Shogo Kato, Toshinao Yoshiba, 2020, Statistical Papers.

A Class of Robust Principal Component Vectors

Shinto Eguchi, Hidehiko Kamiya, S. Eguchi, 2001 .

A class of local likelihood methods and near‐parametric asymptotics

Shinto Eguchi, J. Copas, S. Eguchi, 1998 .

Statistical learning for species distribution models in ecological studies

S. Eguchi, O. Komori, Yusuke Saigusa, 2023, Japanese Journal of Statistics and Data Science.

The Influence Function of Principal Component Analysis by Self-Organizing Rule

Shinto Eguchi, Isao Higuchi, S. Eguchi, 1998, Neural Computation.

A projection method of estimation for a subfamily of exponential families

S. Eguchi, 1986 .

Group Invariance of Information Geometry on q-Gaussian Distributions Induced by Beta-Divergence

Shinto Eguchi, Atsumi Ohara, A. Ohara, 2013, Entropy.

Local likelihood method: a bridge over parametric and nonparametric regression

Shinto Eguchi, Byeong U. Park, B. Park, 2003 .

Recent]Developments of the Theory of Statistical lnference

S. Konishi, S. Eguchi, T. Kubokawa, 2013 .

A boosting method for maximizing the partial area under the ROC curve

S. Eguchi, O. Komori, 2010, BMC Bioinformatics.

Projective Power Entropy and Maximum Tsallis Entropy Distributions

Shogo Kato, Shinto Eguchi, Osamu Komori, 2011, Entropy.

Strong model dependence in statistical analysis: goodness of fit is not enough for model choice

J. Copas, S. Eguchi, 2018, Annals of the Institute of Statistical Mathematics.

Extension of ROC curve

S. Eguchi, Takashi Takenouchi, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.