Hirokazu Yanagihara

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 14

Top Topics

Explanatory Variables

Linear Regression

Confidence Intervals

Top Venues

J. Multivar. Anal.

Int. J. Knowl. Eng. Soft Data Paradigms

Publications

Hirokazu Yanagihara, Isamu Nagai, Keisuke Fukui, Yuta Hijikawa
statistic in multivariate generalized ridge regression for the GMANOVA model. KES (2023)
Mariko Yamamura, Mineaki Ohishi, Hirokazu Yanagihara
Additive Poisson regression via forced categorical covariates and generalized fused Lasso. KES (2023)
Kyohei Mochizuki, Hirokazu Yanagihara
Confidence intervals in multiple linear regression conditioned on the selected model via the kick-one-out method. Int. J. Knowl. Eng. Soft Data Paradigms 7 (2) (2022)
Mariko Yamamura, Mineaki Ohishi, Hirokazu Yanagihara
Spatio-Temporal Adaptive Fused Lasso for Proportion Data. KES-IDT (2021)
Mineaki Ohishi, Kensuke Okamura, Yoshimichi Itoh, Hirokazu Yanagihara
Optimizations for Categorizations of Explanatory Variables in Linear Regression via Generalized Fused Lasso. KES-IDT (2021)
Ryoya Oda, Hirokazu Yanagihara
A Consistent Likelihood-Based Variable Selection Method in Normal Multivariate Linear Regression. KES-IDT (2021)
Hirokazu Yanagihara, Ryoya Oda
Coordinate Descent Algorithm for Normal-Likelihood-Based Group Lasso in Multivariate Linear Regression. KES-IDT (2021)
Mineaki Ohishi, Hirokazu Yanagihara, Hirofumi Wakaki
Criterion for Selecting Ridge Parameters in Generalized Ridge Regression. KES-IDT (2020)
Ryoya Oda, Yuya Suzuki, Hirokazu Yanagihara, Yasunori Fujikoshi
A consistent variable selection method in high-dimensional canonical discriminant analysis. J. Multivar. Anal. 175 (2020)
Keisuke Fukui, Mineaki Ohishi, Mariko Yamamura, Hirokazu Yanagihara
A Fast Optimization Method for Additive Model via Partial Generalized Ridge Regression. KES-IDT (2020)
Isamu Nagai, Katsuyuki Takahashi, Hirokazu Yanagihara
Information criterion-based non-hierarchical clustering. Int. J. Knowl. Eng. Soft Data Paradigms 6 (1) (2017)
Hirokazu Yanagihara, Ryoya Oda, Yusuke Hashiyama, Yasunori Fujikoshi
High-dimensional asymptotic behavior of the difference between the log-determinants of two Wishart matrices. J. Multivar. Anal. 157 (2017)
Hirokazu Yanagihara
-type Statistic for Selecting Variables in a Normality-assumed Linear Regression with Multiple Responses. KES (2016)
Mariko Yamamura, Hirokazu Yanagihara, Hiroko Kato Solvang, Nils Øien, Tore Haug
Canonical Correlation Analysis for Geographical and Chronological Responses. KES (2016)
Yasunori Fujikoshi, Tetsuro Sakurai, Hirokazu Yanagihara
-type criteria in multivariate linear regression. J. Multivar. Anal. 123 (2014)
Muni S. Srivastava, Hirokazu Yanagihara, Tatsuya Kubokawa
Tests for covariance matrices in high dimension with less sample size. J. Multivar. Anal. 130 (2014)
Hirokazu Yanagihara
A non-iterative optimization method for smoothness in penalized spline regression. Stat. Comput. 22 (2) (2012)
Muni S. Srivastava, Hirokazu Yanagihara
Testing the equality of several covariance matrices with fewer observations than the dimension. J. Multivar. Anal. 101 (6) (2010)
Hirokazu Yanagihara, Kenichi Satoh
criterion for multivariate ridge regression. J. Multivar. Anal. 101 (5) (2010)
Mariko Yamamura, Hirokazu Yanagihara, Muni S. Srivastava
Statistic in Multiple Responses Regression with Fewer Sample Size Than the Dimension. KES (3) (2010)