Takeshi Emura

According to our database, Takeshi Emura authored at least 37 papers between 2010 and 2024.

Collaborative distances:

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

2024

The Pareto type I joint frailty-copula model for clustered bivariate survival data.

Yuan-Hsin Lin, Li-Hsien Sun, Yi-Ju Tseng, Takeshi Emura

Commun. Stat. Simul. Comput., April, 2024

Computational methods for a copula-based Markov chain model with a binomial time series.

Xin-Wei Huang, Takeshi Emura

Commun. Stat. Simul. Comput., April, 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

A semiparametric model for the cause-specific hazard under risk proportionality.

Simon M. S. Lo, Ralf Andreas Wilke, Takeshi Emura

Comput. Stat. Data Anal., 2024

2023

Consistency of the Estimator for the Common Mean in Fixed-Effect Meta-Analyses.

Nanami Taketomi, Takeshi Emura

Axioms, May, 2023

Estimation of the Modified Weibull Additive Hazards Regression Model under Competing Risks.

Habbiburr Rehman, Navin Chandra, Takeshi Emura, Manju Pandey

Symmetry, February, 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

Copula-Based Estimation Methods for a Common Mean Vector for Bivariate Meta-Analyses.

Jia-Han Shih, Yoshihiko Konno, Yuan-Tsung Chang, Takeshi Emura

Symmetry, 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

2021

On the copula correlation ratio and its generalization.

Jia-Han Shih, Takeshi Emura

J. Multivar. Anal., 2021

Likelihood-based analysis of doubly-truncated data under the location-scale and AFT model.

Achim Dörre, Chung-Yan Huang, Yi-Kuan Tseng, Takeshi Emura

Comput. Stat., 2021

Estimation under copula-based Markov normal mixture models for serially correlated data.

Wei-Cheng Lin, Takeshi Emura, Li-Hsien Sun

Commun. Stat. Simul. Comput., 2021

Model diagnostic procedures for copula-based Markov chain models for statistical process control.

Xin-Wei Huang, Takeshi Emura

Commun. Stat. Simul. Comput., 2021

A Meta-Analysis for Simultaneously Estimating Individual Means with Shrinkage, Isotonic Regression and Pretests.

Nanami Taketomi, Yoshihiko Konno, Yuan-Tsung Chang, Takeshi Emura

Axioms, 2021

2020

Likelihood-based inference for a frailty-copula model based on competing risks failure time data.

Yin-Chen Wang, Takeshi Emura, Tsai-Hung Fan, Simon M. S. Lo, Ralf Andreas Wilke

Qual. Reliab. Eng. Int., 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

A Bayesian inference for time series via copula-based Markov chain models.

Li-Hsien Sun, Chang-Shang Lee, Takeshi Emura

Commun. Stat. Simul. Comput., 2020

Estimation of the Mann-Whitney effect in the two-sample problem under dependent censoring.

Takeshi Emura, Jiun-Huang Hsu

Comput. Stat. Data Anal., 2020

2019

compound.Cox: Univariate feature selection and compound covariate for predicting survival.

Takeshi Emura, Shigeyuki Matsui, Hsuan-Yu Chen

Comput. Methods Programs Biomed., 2019

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

Likelihood-based inference for bivariate latent failure time models with competing risks under the generalized FGM copula.

Jia-Han Shih, Takeshi Emura

Comput. Stat., 2018

Critical review and comparison of continuity correction methods: The normal approximation to the binomial distribution.

Takeshi Emura, Yu-Ting Liao

Commun. Stat. Simul. Comput., 2018

2017

A Bayesian approach with generalized ridge estimation for high-dimensional regression and testing.

Szu-Peng Yang, Takeshi Emura

Commun. Stat. Simul. Comput., 2017

R routines for performing estimation and statistical process control under copula-based time series models.

Takeshi Emura, Ting-Hsuan Long, Li-Hsien Sun

Commun. Stat. Simul. Comput., 2017

2016

Reliability Inference for a Copula-Based Series System Life Test Under Multiple Type-I Censoring.

Tsung-Ming Hsu, Takeshi Emura, Tsai-Hung Fan

IEEE Trans. Reliab., 2016

Estimation and Model Selection for Left-truncated and Right-censored Lifetime Data with Application to Electric Power Transformers Analysis.

Takeshi Emura, Shau-Kai Shiu

Commun. Stat. Simul. Comput., 2016

2015

A Comparison of Normal Approximation Rules for Attribute Control Charts.

Takeshi Emura, Yi-Shuan Lin

Qual. Reliab. Eng. Int., 2015

Maximum likelihood estimation for a special exponential family under random double-truncation.

Ya-Hsuan Hu, Takeshi Emura

Comput. Stat., 2015

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

2012

Nonparametric maximum likelihood estimation for dependent truncation data based on copulas.

Takeshi Emura, Weijing Wang

J. Multivar. Anal., 2012

A goodness-of-fit test for parametric models based on dependently truncated data.

Takeshi Emura, Yoshihiko Konno

Comput. Stat. Data Anal., 2012

2010

Approximate Tolerance Limits Under Log-Location-Scale Regression Models in the Presence of Censoring.

Takeshi Emura, Hsiuying Wang

Technometrics, 2010

Testing quasi-independence for truncation data.

Takeshi Emura, Weijing Wang

J. Multivar. Anal., 2010

A goodness-of-fit test for Archimedean copula models in the presence of right censoring.

Takeshi Emura, Chien-Wei Lin, Weijing Wang

Comput. Stat. Data Anal., 2010