Wan-Lun Wang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 12

Top Topics

Regression Model

Incomplete Data

Maximum Likelihood

Top Venues

Comput. Stat. Data Anal.

Adv. Data Anal. Classif.

J. Multivar. Anal.

J. Comput. Graph. Stat.

Publications

Wan-Lun Wang, Yu-Chen Yang, Tsung-I Lin
Extending finite mixtures of nonlinear mixed-effects models with covariate-dependent mixing weights. Adv. Data Anal. Classif. 18 (2) (2024)
Tsung-I Lin, Wan-Lun Wang
On moments of truncated multivariate normal/independent distributions. J. Multivar. Anal. 199 (2024)
Mehrdad Naderi, Mostafa Tamandi, Elham Mirfarah, Wan-Lun Wang, Tsung-I Lin
Three-way data clustering based on the mean-mixture of matrix-variate normal distributions. Comput. Stat. Data Anal. 199 (2024)
Wan-Lun Wang
Multivariate Contaminated Normal Censored Regression Model: Properties and Maximum Likelihood Inference. J. Comput. Graph. Stat. 32 (4) (2023)
Mehrdad Naderi, Elham Mirfarah, Wan-Lun Wang, Tsung-I Lin
Robust mixture regression modeling based on the normal mean-variance mixture distributions. Comput. Stat. Data Anal. 180 (2023)
Wan-Lun Wang, Tsung-I Lin
Robust clustering via mixtures of t factor analyzers with incomplete data. Adv. Data Anal. Classif. 16 (3) (2022)
Yu-Chen Yang, Tsung-I Lin, Luis Mauricio Castro, Wan-Lun Wang
Extending finite mixtures of t linear mixed-effects models with concomitant covariates. Comput. Stat. Data Anal. 148 (2020)
Wan-Lun Wang, Luis Mauricio Castro, Victor H. Lachos, Tsung-I Lin
Model-based clustering of censored data via mixtures of factor analyzers. Comput. Stat. Data Anal. 140 (2019)
Wan-Lun Wang, Luis Mauricio Castro, Yen-Ting Chang, Tsung-I Lin
Mixtures of restricted skew-t factor analyzers with common factor loadings. Adv. Data Anal. Classif. 13 (2) (2019)
Wan-Lun Wang, Luis Mauricio Castro, Tsung-I Lin
Automated learning of t factor analysis models with complete and incomplete data. J. Multivar. Anal. 161 (2017)
Wan-Lun Wang, Min Liu, Tsung-I Lin
Robust skew-t factor analysis models for handling missing data. Stat. Methods Appl. 26 (4) (2017)
Wan-Lun Wang, Tsung-I Lin
Maximum likelihood inference for the multivariate t mixture model. J. Multivar. Anal. 149 (2016)
Wan-Lun Wang, Tsung-I Lin
Robust model-based clustering via mixtures of skew-t distributions with missing information. Adv. Data Anal. Classif. 9 (4) (2015)
Wan-Lun Wang
Approximate Methods for Maximum Likelihood Estimation of Multivariate Nonlinear Mixed-Effects Models. Entropy 17 (8) (2015)
Wan-Lun Wang
Mixtures of common t-factor analyzers for modeling high-dimensional data with missing values. Comput. Stat. Data Anal. 83 (2015)
Wan-Lun Wang, Tsung-I Lin
-factor analyzers. Comput. Stat. 28 (2) (2013)
Wan-Lun Wang
Mixtures of common factor analyzers for high-dimensional data with missing information. J. Multivar. Anal. 117 (2013)
Wan-Lun Wang, Tsai-Hung Fan
Bayesian analysis of multivariate t linear mixed models using a combination of IBF and Gibbs samplers. J. Multivar. Anal. 105 (1) (2012)
Tsai-Hung Fan, Wan-Lun Wang
Accelerated Life Tests for Weibull Series Systems With Masked Data. IEEE Trans. Reliab. 60 (3) (2011)
Wan-Lun Wang, Tsai-Hung Fan
ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors. Comput. Stat. Data Anal. 54 (5) (2010)