Hirokazu Yanagihara

According to our database, Hirokazu Yanagihara authored at least 30 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Non-parametric Bias-Reduction Estimation of Residual Variance in Varying Coefficient Regression Model.

Hirokazu Yanagihara, Sanai Shibayama

Proceedings of the Intelligent Decision Technologies, 2024

Poisson Regression with Categorical Explanatory Variables via Lasso Using the Median as a Baseline.

Mariko Yamamura, Mineaki Ohishi, Hirokazu Yanagihara

Proceedings of the Intelligent Decision Technologies, 2024

Coordinate Descent Algorithm of the Group Lasso for Selecting Between-Individual Explanatory Variables in the Three-Mode GMANOVA Model.

Rei Monden, Keito Horikawa, Isamu Nagai, Hirokazu Yanagihara

Proceedings of the Intelligent Decision Technologies, 2024

High-dimensionality-adjusted consistent AIC in normal multivariate linear regression.

Hirokazu Yanagihara

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

Modified C criterion for models with predicted responses as multiplication of a hat matrix.

Sanai Shibayama, Koki Kirishima, Hirokazu Yanagihara

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

2023

Modified C_p Criterion in Widely Applicable Models.

Hirokazu Yanagihara, Isamu Nagai, Keisuke Fukui, Yuta Hijikawa

Proceedings of the Intelligent Decision Technologies, 2023

Spatio-Temporal Analysis of Rates Derived from Count Data Using Generalized Fused Lasso Poisson Model.

Mariko Yamamura, Mineaki Ohishi, Hirokazu Yanagihara

Proceedings of the Intelligent Decision Technologies, 2023

Geographically Weighted Sparse Group Lasso: Local and Global Variable Selections for GWR.

Mineaki Ohishi, Koki Kirishima, Kensuke Okamura, Yoshimichi Itoh, Hirokazu Yanagihara

Proceedings of the Intelligent Decision Technologies, 2023

Implications of the Usage of Three-Mode Principal Component Analysis with a Fixed Polynomial Basis.

Rei Monden, Isamu Nagai, Hirokazu Yanagihara

Proceedings of the Intelligent Decision Technologies, 2023

Estimation Algorithms for MLE of Three-Mode GMANOVA Model with Kronecker Product Covariance Matrix.

Keito Horikawa, Isamu Nagai, Rei Monden, Hirokazu Yanagihara

Proceedings of the Intelligent Decision Technologies, 2023

Ridge parameter optimization using a modified C_p statistic in multivariate generalized ridge regression for the GMANOVA model.

Hirokazu Yanagihara, Isamu Nagai, Keisuke Fukui, Yuta Hijikawa

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Additive Poisson regression via forced categorical covariates and generalized fused Lasso.

Mariko Yamamura, Mineaki Ohishi, Hirokazu Yanagihara

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

2022

Confidence intervals in multiple linear regression conditioned on the selected model via the kick-one-out method.

Kyohei Mochizuki, Hirokazu Yanagihara

Int. J. Knowl. Eng. Soft Data Paradigms, 2022

2021

Coordinate Descent Algorithm for Normal-Likelihood-Based Group Lasso in Multivariate Linear Regression.

Hirokazu Yanagihara, Ryoya Oda

Proceedings of the Intelligent Decision Technologies, 2021

Spatio-Temporal Adaptive Fused Lasso for Proportion Data.

Mariko Yamamura, Mineaki Ohishi, Hirokazu Yanagihara

Proceedings of the Intelligent Decision Technologies, 2021

Optimizations for Categorizations of Explanatory Variables in Linear Regression via Generalized Fused Lasso.

Mineaki Ohishi, Kensuke Okamura, Yoshimichi Itoh, Hirokazu Yanagihara

Proceedings of the Intelligent Decision Technologies, 2021

A Consistent Likelihood-Based Variable Selection Method in Normal Multivariate Linear Regression.

Ryoya Oda, Hirokazu Yanagihara

Proceedings of the Intelligent Decision Technologies, 2021

2020

A consistent variable selection method in high-dimensional canonical discriminant analysis.

Ryoya Oda, Yuya Suzuki, Hirokazu Yanagihara, Yasunori Fujikoshi

J. Multivar. Anal., 2020

Optimization of Generalized C_p Criterion for Selecting Ridge Parameters in Generalized Ridge Regression.

Mineaki Ohishi, Hirokazu Yanagihara, Hirofumi Wakaki

Proceedings of the Intelligent Decision Technologies, 2020

A Fast Optimization Method for Additive Model via Partial Generalized Ridge Regression.

Keisuke Fukui, Mineaki Ohishi, Mariko Yamamura, Hirokazu Yanagihara

Proceedings of the Intelligent Decision Technologies, 2020

2017

High-dimensional asymptotic behavior of the difference between the log-determinants of two Wishart matrices.

Hirokazu Yanagihara, Ryoya Oda, Yusuke Hashiyama, Yasunori Fujikoshi

J. Multivar. Anal., 2017

Information criterion-based non-hierarchical clustering.

Isamu Nagai, Katsuyuki Takahashi, Hirokazu Yanagihara

Int. J. Knowl. Eng. Soft Data Paradigms, 2017

2016

A High-dimensionality-adjusted Consistent C_p-type Statistic for Selecting Variables in a Normality-assumed Linear Regression with Multiple Responses.

Hirokazu Yanagihara

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

Canonical Correlation Analysis for Geographical and Chronological Responses.

Mariko Yamamura, Hirokazu Yanagihara, Hiroko Kato Solvang, Nils Øien, Tore Haug

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

2014

Tests for covariance matrices in high dimension with less sample size.

Muni S. Srivastava, Hirokazu Yanagihara, Tatsuya Kubokawa

J. Multivar. Anal., 2014

Consistency of high-dimensional AIC-type and C_p-type criteria in multivariate linear regression.

Yasunori Fujikoshi, Tetsuro Sakurai, Hirokazu Yanagihara

J. Multivar. Anal., 2014

2012

A non-iterative optimization method for smoothness in penalized spline regression.

Hirokazu Yanagihara

Stat. Comput., 2012

2010

An unbiased C_p criterion for multivariate ridge regression.

Hirokazu Yanagihara, Kenichi Satoh

J. Multivar. Anal., 2010

Testing the equality of several covariance matrices with fewer observations than the dimension.

Muni S. Srivastava, Hirokazu Yanagihara

J. Multivar. Anal., 2010

Variable Selection by <i>C</i>_<i>p</i> Statistic in Multiple Responses Regression with Fewer Sample Size Than the Dimension.

Mariko Yamamura, Hirokazu Yanagihara, Muni S. Srivastava

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010