Hirokazu Yanagihara

发表

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

Hirokazu Yanagihara, H. Yanagihara, 2012, Stat. Comput..

Tests for covariance matrices in high dimension with less sample size

Tatsuya Kubokawa, Hirokazu Yanagihara, Muni S. Srivastava, 2014, J. Multivar. Anal..

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

Yuya Suzuki, Yasunori Fujikoshi, Hirokazu Yanagihara, 2020, J. Multivar. Anal..

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

Yasunori Fujikoshi, Hirokazu Yanagihara, Ryoya Oda, 2017, J. Multivar. Anal..

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

Hirokazu Yanagihara, H. Yanagihara, 2016, KES.

Variable Selection by Cp Statistic in Multiple Responses Regression with Fewer Sample Size Than the Dimension

Hirokazu Yanagihara, Muni S. Srivastava, Mariko Yamamura, 2010, KES.

A Class of Population Covariance Matrices in the Bootstrap Approach to Covariance Structure Analysis

Kentaro Hayashi, Ke-Hai Yuan, Hirokazu Yanagihara, 2007, Multivariate behavioral research.

Variable Selection

Cees G. M. Snoek, Hirokazu Yanagihara, Muni S. Srivastava, 2019, Model-Based Clustering and Classification for Data Science.

Information criterion-based non-hierarchical clustering

Hirokazu Yanagihara, Isamu Nagai, Katsuyuki Takahashi, 2017, Int. J. Knowl. Eng. Soft Data Paradigms.

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

Yasunori Fujikoshi, Tetsuro Sakurai, Hirokazu Yanagihara, 2014, J. Multivar. Anal..

Canonical Correlation Analysis for Geographical and Chronological Responses

Hiroko Kato Solvang, Hirokazu Yanagihara, Mariko Yamamura, 2016, KES.

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

Hirokazu Yanagihara, Muni S. Srivastava, M. Srivastava, 2010, J. Multivar. Anal..

An unbiased Cp criterion for multivariate ridge regression

Hirokazu Yanagihara, Kenichi Satoh, K. Satoh, 2010, J. Multivar. Anal..

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

Hirokazu Yanagihara, Ryoya Oda, 2021, KES-IDT.

Spatio-Temporal Adaptive Fused Lasso for Proportion Data

Hirokazu Yanagihara, Mariko Yamamura, Mineaki Ohishi, 2021, KES-IDT.

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

Hirokazu Yanagihara, Mineaki Ohishi, Kensuke Okamura, 2021, KES-IDT.

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

Hirokazu Yanagihara, Ryoya Oda, 2021, KES-IDT.

Three Approximate Solutions to the Multivariate Behrens–Fisher Problem

Ke-Hai Yuan, Hirokazu Yanagihara, K. Yuan, 2005 .

On Avoidance of the Over-fitting in the B-Spline Non-parametric Regression Model

Hirokazu Yanagihara, Megu Ohtaki, 2004 .

Jackknife bias correction of the AIC for selecting variables in canonical correlation analysis under model misspecification

Yasunori Fujikoshi, Hirokazu Yanagihara, Yusuke Hashiyama, 2014 .

Temporal and geographical variation in body condition of common minke whales (Balaenoptera acutorostrata acutorostrata) in the Northeast Atlantic

Hirokazu Yanagihara, Nils Øien, Tore Haug, 2017, Polar Biology.

Illustration of the Varying Coefficient Model for a Tree Growth Analysis from the Age and Space Perspectives

Hirokazu Yanagihara, Mariko Yamamura, H. Yanagihara, 2016 .

Bias correction of cross-validation criterion based on Kullback-Leibler information under a general condition

Hirokazu Yanagihara, Chieko Matsumoto, Tetsuji Tonda, 2006 .

A mathematical estimation of true cancer incidence using data from population-based cancer registries.

Hirokazu Yanagihara, Tomotaka Sobue, Kenichi Satoh, 2007, Japanese journal of clinical oncology.

A fast algorithm for optimizing ridge parameters in a generalized ridge regression by minimizing a model selection criterion

Yasunori Fujikoshi, Hirokazu Yanagihara, Mineaki Ohishi, 2019 .

The effects of nonnormality on asymptotic distributions of some likelihood ratio criteria for testing covariance structures under normal assumption

Hirokazu Yanagihara, Chieko Matsumoto, Tetsuji Tonda, 2005 .

Bias correction of AIC in logistic regression models

Yasunori Fujikoshi, Hirokazu Yanagihara, Risa Sekiguchi, 2003 .

Statistical Inference on a Varying Coefficient Surface Using Interaction Model for Spatial Data

Hirokazu Yanagihara, Kenichi Satoh, Tetsuji Tonda, 2010 .