Hirofumi Michimae

According to our database, Hirofumi Michimae authored at least 9 papers between 2014 and 2024.

Collaborative distances:

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

2024

g.ridge: An R Package for Generalized Ridge Regression for Sparse and High-Dimensional Linear Models.

Takeshi Emura, Koutarou Matsumoto, Ryuji Uozumi, Hirofumi Michimae

Symmetry, February, 2024

2023

Dynamic lifetime prediction using a Weibull-based bivariate failure time model: a meta-analysis of individual-patient data.

Sayaka Shinohara, Yuan-Hsin Lin, Hirofumi Michimae, Takeshi Emura

Commun. Stat. Simul. Comput., February, 2023

2022

Left-truncated and right-censored field failure data: Review of parametric analysis for reliability.

Takeshi Emura, Hirofumi Michimae

Qual. Reliab. Eng. Int., 2022

Dynamic Risk Prediction via a Joint Frailty-Copula Model and IPD Meta-Analysis: Building Web Applications.

Takeshi Emura, Hirofumi Michimae, Shigeyuki Matsui

Entropy, 2022

Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients.

Hirofumi Michimae, Takeshi Emura

Comput. Stat., 2022

meta.shrinkage: An R Package for Meta-Analyses for Simultaneously Estimating Individual Means.

Nanami Taketomi, Hirofumi Michimae, Yuan-Tsung Chang, Takeshi Emura

Algorithms, 2022

2020

Meta-analysis of individual patient data with semi-competing risks under the Weibull joint frailty-copula model.

Bo-Hong Wu, Hirofumi Michimae, Takeshi Emura

Comput. Stat., 2020

2018

Reconsidering the estimation of costs of phenotypic plasticity using the robust ridge estimator.

Hirofumi Michimae, Akiomi Yoshida, Takeshi Emura, Masatoshi Matsunami, Kinya Nishimura

Ecol. Informatics, 2018

2014

An improved nonparametric estimator of sub-distribution function for bivariate competing risk models.

Takeshi Emura, Fan-Hsuan Kao, Hirofumi Michimae

J. Multivar. Anal., 2014