A Fast Optimization Method for Additive Model via Partial Generalized Ridge Regression. - Keisuke Fukui; Mineaki Ohishi; Mariko Yamamura; Hirokazu Yanagihara (KES-IDT, 2020)

Optimization of Generalized Cp Criterion for Selecting Ridge Parameters in Generalized Ridge Regression. - Mineaki Ohishi; Hirokazu Yanagihara; Hirofumi Wakaki (KES-IDT, 2020)

Optimizations for Categorizations of Explanatory Variables in Linear Regression via Generalized Fused Lasso. - Mineaki Ohishi; Kensuke Okamura; Yoshimichi Itoh; Hirokazu Yanagihara (KES-IDT, 2021)

Spatio-Temporal Adaptive Fused Lasso for Proportion Data. - Mariko Yamamura; Mineaki Ohishi; Hirokazu Yanagihara (KES-IDT, 2021)

Additive Poisson regression via forced categorical covariates and generalized fused Lasso. - Mariko Yamamura; Mineaki Ohishi; Hirokazu Yanagihara (KES, 2023)

Geographically Weighted Sparse Group Lasso: Local and Global Variable Selections for GWR. - Mineaki Ohishi; Koki Kirishima; Kensuke Okamura; Yoshimichi Itoh; Hirokazu Yanagihara (KES-IDT, 2023)

Spatio-Temporal Analysis of Rates Derived from Count Data Using Generalized Fused Lasso Poisson Model. - Mariko Yamamura; Mineaki Ohishi; Hirokazu Yanagihara (KES-IDT, 2023)

trec: An R package for trend estimation and classification to support integrated ecosystem assessment of the marine ecosystem and environmental factors. - Hiroko Kato Solvang; Mineaki Ohishi (SoftwareX, 2023)

Poisson Regression with Categorical Explanatory Variables via Lasso Using the Median as a Baseline. - Mariko Yamamura; Mineaki Ohishi; Hirokazu Yanagihara (KES-IDT, 2024)

Generalized fused Lasso for grouped data in generalized linear models. - Mineaki Ohishi (Stat. Comput., 2024)