Research fields:
Statistical science, machine learning
Research themes:
Statistical estimation and prediction using information geometry and Bayesian statistics
[Keywords]
Information geometry of statistical estimation, generalized linear model, sparse estimation
Main books and papers:
◆“Least Angle Regression in Tangent Space and LASSO for Generalized Linear Models” Behaviormetrika, 52, 179-196, 2025
◆“Regularization Methods Based on the Lq-Likelihood for Linear Models with Heavy-Tailed Errors” Entropy, 22, 1036, 2020
◆“Holonomic Extended Least Angle Regression” (Joint authorship) Information Geometry, 3, 149-181, 2020
◆“Kiso-kara Manabu Jouhou Riron” (Information Theory Learning from Basics) [2nd Edition] (Joint authorship), Muisuri Publishing, 2020
◆“Second-Order Matching Prior Family Parametrized by Sample Size and Matching Probability” (Joint authorship) Statistical Papers, 61, 1701-1717, 2020
◆“An Extension of Least Angle Regression Based on the Information Geometry of Dually Flat Spaces” (Joint authorship) Journal of Computational and Graphical Statistics, 19, 1007-1023, 2010