ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors. - Wan-Lun Wang; Tsai-Hung Fan (Comput. Stat. Data Anal., 2010)

Accelerated Life Tests for Weibull Series Systems With Masked Data. - Tsai-Hung Fan; Wan-Lun Wang (IEEE Trans. Reliab., 2011)

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)

An efficient ECM algorithm for maximum likelihood estimation in mixtures of t-factor analyzers. - Wan-Lun Wang; Tsung-I Lin (Comput. Stat., 2013)

Mixtures of common factor analyzers for high-dimensional data with missing information. - Wan-Lun Wang (J. Multivar. Anal., 2013)

Robust model-based clustering via mixtures of skew-t distributions with missing information. - Wan-Lun Wang; Tsung-I Lin (Adv. Data Anal. Classif., 2015)

Mixtures of common t-factor analyzers for modeling high-dimensional data with missing values. - Wan-Lun Wang (Comput. Stat. Data Anal., 2015)

Approximate Methods for Maximum Likelihood Estimation of Multivariate Nonlinear Mixed-Effects Models. - Wan-Lun Wang (Entropy, 2015)

Maximum likelihood inference for the multivariate t mixture model. - Wan-Lun Wang; Tsung-I Lin (J. Multivar. Anal., 2016)

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)

Robust skew-t factor analysis models for handling missing data. - Wan-Lun Wang; Min Liu; Tsung-I Lin (Stat. Methods Appl., 2017)

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)

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)

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)

Robust clustering via mixtures of t factor analyzers with incomplete data. - Wan-Lun Wang; Tsung-I Lin (Adv. Data Anal. Classif., 2022)

Multivariate Contaminated Normal Censored Regression Model: Properties and Maximum Likelihood Inference. - Wan-Lun Wang (J. Comput. Graph. Stat., 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., 2023)

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)

On moments of truncated multivariate normal/independent distributions. - Tsung-I Lin; Wan-Lun Wang (J. Multivar. Anal., 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., 2024)

Mixtures of common factor analyzers using the restricted multivariate skew-t distribution for clustering high-dimensional data with missing values. - Wan-Lun Wang; Luis M. Castro; Shi-Xiu Yu; Tsung-I Lin (J. Comput. Appl. Math., 2026)