Wan-Lun Wang

According to our database, Wan-Lun Wang authored at least 20 papers between 2010 and 2024.

Collaborative distances:

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

2024

Extending finite mixtures of nonlinear mixed-effects models with covariate-dependent mixing weights.

Wan-Lun Wang, Yu-Chen Yang, Tsung-I Lin

Adv. Data Anal. Classif., June, 2024

On moments of truncated multivariate normal/independent distributions.

Tsung-I Lin, Wan-Lun Wang

J. Multivar. Anal., 2024

Three-way data clustering based on the mean-mixture of matrix-variate normal distributions.

Mehrdad Naderi, Mostafa Tamandi, Elham Mirfarah, Wan-Lun Wang, Tsung-I Lin

Comput. Stat. Data Anal., 2024

2023

Robust mixture regression modeling based on the normal mean-variance mixture distributions.

Mehrdad Naderi, Elham Mirfarah, Wan-Lun Wang, Tsung-I Lin

Comput. Stat. Data Anal., April, 2023

Multivariate Contaminated Normal Censored Regression Model: Properties and Maximum Likelihood Inference.

Wan-Lun Wang

J. Comput. Graph. Stat., 2023

2022

Robust clustering via mixtures of t factor analyzers with incomplete data.

Wan-Lun Wang, Tsung-I Lin

Adv. Data Anal. Classif., 2022

2020

Extending finite mixtures of t linear mixed-effects models with concomitant covariates.

Yu-Chen Yang, Tsung-I Lin, Luis Mauricio Castro, Wan-Lun Wang

Comput. Stat. Data Anal., 2020

2019

Model-based clustering of censored data via mixtures of factor analyzers.

Wan-Lun Wang, Luis Mauricio Castro, Victor H. Lachos, Tsung-I Lin

Comput. Stat. Data Anal., 2019

Mixtures of restricted skew-t factor analyzers with common factor loadings.

Wan-Lun Wang, Luis Mauricio Castro, Yen-Ting Chang, Tsung-I Lin

Adv. Data Anal. Classif., 2019

2017

Robust skew-t factor analysis models for handling missing data.

Wan-Lun Wang, Min Liu, Tsung-I Lin

Stat. Methods Appl., 2017

Automated learning of t factor analysis models with complete and incomplete data.

Wan-Lun Wang, Luis Mauricio Castro, Tsung-I Lin

J. Multivar. Anal., 2017

2016

Maximum likelihood inference for the multivariate t mixture model.

Wan-Lun Wang, Tsung-I Lin

J. Multivar. Anal., 2016

2015

Approximate Methods for Maximum Likelihood Estimation of Multivariate Nonlinear Mixed-Effects Models.

Wan-Lun Wang

Entropy, 2015

Mixtures of common t-factor analyzers for modeling high-dimensional data with missing values.

Wan-Lun Wang

Comput. Stat. Data Anal., 2015

Robust model-based clustering via mixtures of skew-t distributions with missing information.

Wan-Lun Wang, Tsung-I Lin

Adv. Data Anal. Classif., 2015

2013

Mixtures of common factor analyzers for high-dimensional data with missing information.

Wan-Lun Wang

J. Multivar. Anal., 2013

An efficient ECM algorithm for maximum likelihood estimation in mixtures of <i>t</i>-factor analyzers.

Wan-Lun Wang, Tsung-I Lin

Comput. Stat., 2013

2012

Bayesian analysis of multivariate t linear mixed models using a combination of IBF and Gibbs samplers.

Wan-Lun Wang, Tsai-Hung Fan

J. Multivar. Anal., 2012

2011

Accelerated Life Tests for Weibull Series Systems With Masked Data.

Tsai-Hung Fan, Wan-Lun Wang

IEEE Trans. Reliab., 2011

2010

ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors.

Wan-Lun Wang, Tsai-Hung Fan

Comput. Stat. Data Anal., 2010