Hirokazu Yanagihara

According to our database1, Hirokazu Yanagihara authored at least 30 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Non-parametric Bias-Reduction Estimation of Residual Variance in Varying Coefficient Regression Model.
Proceedings of the Intelligent Decision Technologies, 2024

Poisson Regression with Categorical Explanatory Variables via Lasso Using the Median as a Baseline.
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.
Proceedings of the Intelligent Decision Technologies, 2024

High-dimensionality-adjusted consistent AIC in normal multivariate linear regression.
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.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

2023
Modified C<sub>p</sub> Criterion in Widely Applicable Models.
Proceedings of the Intelligent Decision Technologies, 2023

Spatio-Temporal Analysis of Rates Derived from Count Data Using Generalized Fused Lasso Poisson Model.
Proceedings of the Intelligent Decision Technologies, 2023

Geographically Weighted Sparse Group Lasso: Local and Global Variable Selections for GWR.
Proceedings of the Intelligent Decision Technologies, 2023

Implications of the Usage of Three-Mode Principal Component Analysis with a Fixed Polynomial Basis.
Proceedings of the Intelligent Decision Technologies, 2023

Estimation Algorithms for MLE of Three-Mode GMANOVA Model with Kronecker Product Covariance Matrix.
Proceedings of the Intelligent Decision Technologies, 2023

Ridge parameter optimization using a modified C<sub>p</sub> statistic in multivariate generalized ridge regression for the GMANOVA model.
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.
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.
Int. J. Knowl. Eng. Soft Data Paradigms, 2022

2021
Coordinate Descent Algorithm for Normal-Likelihood-Based Group Lasso in Multivariate Linear Regression.
Proceedings of the Intelligent Decision Technologies, 2021

Spatio-Temporal Adaptive Fused Lasso for Proportion Data.
Proceedings of the Intelligent Decision Technologies, 2021

Optimizations for Categorizations of Explanatory Variables in Linear Regression via Generalized Fused Lasso.
Proceedings of the Intelligent Decision Technologies, 2021

A Consistent Likelihood-Based Variable Selection Method in Normal Multivariate Linear Regression.
Proceedings of the Intelligent Decision Technologies, 2021

2020
A consistent variable selection method in high-dimensional canonical discriminant analysis.
J. Multivar. Anal., 2020

Optimization of Generalized C<sub>p</sub> Criterion for Selecting Ridge Parameters in Generalized Ridge Regression.
Proceedings of the Intelligent Decision Technologies, 2020

A Fast Optimization Method for Additive Model via Partial Generalized Ridge Regression.
Proceedings of the Intelligent Decision Technologies, 2020

2017
High-dimensional asymptotic behavior of the difference between the log-determinants of two Wishart matrices.
J. Multivar. Anal., 2017

Information criterion-based non-hierarchical clustering.
Int. J. Knowl. Eng. Soft Data Paradigms, 2017

2016
A High-dimensionality-adjusted Consistent C<sub>p</sub>-type Statistic for Selecting Variables in a Normality-assumed Linear Regression with Multiple Responses.
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.
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.
J. Multivar. Anal., 2014

Consistency of high-dimensional AIC-type and C<sub>p</sub>-type criteria in multivariate linear regression.
J. Multivar. Anal., 2014

2012
A non-iterative optimization method for smoothness in penalized spline regression.
Stat. Comput., 2012

2010
An unbiased C<sub>p</sub> criterion for multivariate ridge regression.
J. Multivar. Anal., 2010

Testing the equality of several covariance matrices with fewer observations than the dimension.
J. Multivar. Anal., 2010

Variable Selection by <i>C</i><sub><i>p</i></sub> Statistic in Multiple Responses Regression with Fewer Sample Size Than the Dimension.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010


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