Hirokazu Yanagihara

30 papers B 6Journal 9Unranked 15

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Coordinate Descent Algorithm of the Group Lasso for Selecting Between-Individual Explanatory Variables in the Three-Mode GMANOVA Model. KES-IDT Rei Monden, Keito Horikawa, Isamu Nagai, Hirokazu Yanagihara
2024	B	`conf`	High-dimensionality-adjusted consistent AIC in normal multivariate linear regression. KES Hirokazu Yanagihara
2024	B	`conf`	Modified C criterion for models with predicted responses as multiplication of a hat matrix. KES Sanai Shibayama, Koki Kirishima, Hirokazu Yanagihara
2024	—	`conf`	Non-parametric Bias-Reduction Estimation of Residual Variance in Varying Coefficient Regression Model. KES-IDT Hirokazu Yanagihara, Sanai Shibayama
2024	—	`conf`	Poisson Regression with Categorical Explanatory Variables via Lasso Using the Median as a Baseline. KES-IDT Mariko Yamamura, Mineaki Ohishi, Hirokazu Yanagihara
2023	B	`conf`	Additive Poisson regression via forced categorical covariates and generalized fused Lasso. KES Mariko Yamamura, Mineaki Ohishi, Hirokazu Yanagihara
2023	—	`conf`	Estimation Algorithms for MLE of Three-Mode GMANOVA Model with Kronecker Product Covariance Matrix. KES-IDT Keito Horikawa, Isamu Nagai, Rei Monden, Hirokazu Yanagihara
2023	—	`conf`	Geographically Weighted Sparse Group Lasso: Local and Global Variable Selections for GWR. KES-IDT Mineaki Ohishi, Koki Kirishima, Kensuke Okamura, Yoshimichi Itoh, Hirokazu Yanagihara
2023	—	`conf`	Implications of the Usage of Three-Mode Principal Component Analysis with a Fixed Polynomial Basis. KES-IDT Rei Monden, Isamu Nagai, Hirokazu Yanagihara
2023	—	`conf`	Modified C KES-IDT Hirokazu Yanagihara, Isamu Nagai, Keisuke Fukui, Yuta Hijikawa
2023	B	`conf`	Ridge parameter optimization using a modified C KES Hirokazu Yanagihara, Isamu Nagai, Keisuke Fukui, Yuta Hijikawa
2023	—	`conf`	Spatio-Temporal Analysis of Rates Derived from Count Data Using Generalized Fused Lasso Poisson Model. KES-IDT Mariko Yamamura, Mineaki Ohishi, Hirokazu Yanagihara
2022	J	`jnl`	Confidence intervals in multiple linear regression conditioned on the selected model via the kick-one-out method. Int. J. Knowl. Eng. Soft Data Paradigms Kyohei Mochizuki, Hirokazu Yanagihara
2021	—	`conf`	A Consistent Likelihood-Based Variable Selection Method in Normal Multivariate Linear Regression. KES-IDT Ryoya Oda, Hirokazu Yanagihara
2021	—	`conf`	Coordinate Descent Algorithm for Normal-Likelihood-Based Group Lasso in Multivariate Linear Regression. KES-IDT Hirokazu Yanagihara, Ryoya Oda
2021	—	`conf`	Optimizations for Categorizations of Explanatory Variables in Linear Regression via Generalized Fused Lasso. KES-IDT Mineaki Ohishi, Kensuke Okamura, Yoshimichi Itoh, Hirokazu Yanagihara
2021	—	`conf`	Spatio-Temporal Adaptive Fused Lasso for Proportion Data. KES-IDT Mariko Yamamura, Mineaki Ohishi, Hirokazu Yanagihara
2020	—	`conf`	A Fast Optimization Method for Additive Model via Partial Generalized Ridge Regression. KES-IDT Keisuke Fukui, Mineaki Ohishi, Mariko Yamamura, Hirokazu Yanagihara
2020	J	`jnl`	A consistent variable selection method in high-dimensional canonical discriminant analysis. J. Multivar. Anal. Ryoya Oda, Yuya Suzuki, Hirokazu Yanagihara, Yasunori Fujikoshi
2020	—	`conf`	Optimization of Generalized C KES-IDT Mineaki Ohishi, Hirokazu Yanagihara, Hirofumi Wakaki
2017	J	`jnl`	High-dimensional asymptotic behavior of the difference between the log-determinants of two Wishart matrices. J. Multivar. Anal. Hirokazu Yanagihara, Ryoya Oda, Yusuke Hashiyama, Yasunori Fujikoshi
2017	J	`jnl`	Information criterion-based non-hierarchical clustering. Int. J. Knowl. Eng. Soft Data Paradigms Isamu Nagai, Katsuyuki Takahashi, Hirokazu Yanagihara
2016	B	`conf`	A High-dimensionality-adjusted Consistent C KES Hirokazu Yanagihara
2016	B	`conf`	Canonical Correlation Analysis for Geographical and Chronological Responses. KES Mariko Yamamura, Hirokazu Yanagihara, Hiroko Kato Solvang, Nils Øien, Tore Haug
2014	J	`jnl`	Consistency of high-dimensional AIC-type and C J. Multivar. Anal. Yasunori Fujikoshi, Tetsuro Sakurai, Hirokazu Yanagihara
2014	J	`jnl`	Tests for covariance matrices in high dimension with less sample size. J. Multivar. Anal. Muni S. Srivastava, Hirokazu Yanagihara, Tatsuya Kubokawa
2012	J	`jnl`	A non-iterative optimization method for smoothness in penalized spline regression. Stat. Comput. Hirokazu Yanagihara
2010	J	`jnl`	An unbiased C J. Multivar. Anal. Hirokazu Yanagihara, Kenichi Satoh
2010	J	`jnl`	Testing the equality of several covariance matrices with fewer observations than the dimension. J. Multivar. Anal. Muni S. Srivastava, Hirokazu Yanagihara
2010	—	`conf`	Variable Selection by KES (3) Mariko Yamamura, Hirokazu Yanagihara, Muni S. Srivastava