Wan-Lun Wang

23 papers Journal 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Finite Mixtures of Multivariate Contaminated Normal Censored Regression Models.
J. Comput. Graph. Stat.
Tsung-I Lin, Wan-Lun Wang
2026 J jnl
Mixtures of common factor analyzers using the restricted multivariate skew-t distribution for clustering high-dimensional data with missing values.
J. Comput. Appl. Math.
Wan-Lun Wang, Luis M. Castro, Shi-Xiu Yu, Tsung-I Lin
2025 J jnl
Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions.
Adv. Data Anal. Classif.
Elham Mirfarah, Mehrdad Naderi, Tsung-I Lin, Wan-Lun Wang
2024 J jnl
Extending finite mixtures of nonlinear mixed-effects models with covariate-dependent mixing weights.
Adv. Data Anal. Classif.
Wan-Lun Wang, Yu-Chen Yang, Tsung-I Lin
2024 J jnl
On moments of truncated multivariate normal/independent distributions.
J. Multivar. Anal.
Tsung-I Lin, Wan-Lun Wang
2024 J jnl
Three-way data clustering based on the mean-mixture of matrix-variate normal distributions.
Comput. Stat. Data Anal.
Mehrdad Naderi, Mostafa Tamandi, Elham Mirfarah, Wan-Lun Wang, Tsung-I Lin
2023 J jnl
Multivariate Contaminated Normal Censored Regression Model: Properties and Maximum Likelihood Inference.
J. Comput. Graph. Stat.
Wan-Lun Wang
2023 J jnl
Robust mixture regression modeling based on the normal mean-variance mixture distributions.
Comput. Stat. Data Anal.
Mehrdad Naderi, Elham Mirfarah, Wan-Lun Wang, Tsung-I Lin
2022 J jnl
Robust clustering via mixtures of t factor analyzers with incomplete data.
Adv. Data Anal. Classif.
Wan-Lun Wang, Tsung-I Lin
2020 J jnl
Extending finite mixtures of t linear mixed-effects models with concomitant covariates.
Comput. Stat. Data Anal.
Yu-Chen Yang, Tsung-I Lin, Luis Mauricio Castro, Wan-Lun Wang
2019 J jnl
Mixtures of restricted skew-t factor analyzers with common factor loadings.
Adv. Data Anal. Classif.
Wan-Lun Wang, Luis Mauricio Castro, Yen-Ting Chang, Tsung-I Lin
2019 J jnl
Model-based clustering of censored data via mixtures of factor analyzers.
Comput. Stat. Data Anal.
Wan-Lun Wang, Luis Mauricio Castro, Victor H. Lachos, Tsung-I Lin
2017 J jnl
Automated learning of t factor analysis models with complete and incomplete data.
J. Multivar. Anal.
Wan-Lun Wang, Luis Mauricio Castro, Tsung-I Lin
2017 J jnl
Robust skew-t factor analysis models for handling missing data.
Stat. Methods Appl.
Wan-Lun Wang, Min Liu, Tsung-I Lin
2016 J jnl
Maximum likelihood inference for the multivariate t mixture model.
J. Multivar. Anal.
Wan-Lun Wang, Tsung-I Lin
2015 J jnl
Approximate Methods for Maximum Likelihood Estimation of Multivariate Nonlinear Mixed-Effects Models.
Entropy
Wan-Lun Wang
2015 J jnl
Mixtures of common t-factor analyzers for modeling high-dimensional data with missing values.
Comput. Stat. Data Anal.
Wan-Lun Wang
2015 J jnl
Robust model-based clustering via mixtures of skew-t distributions with missing information.
Adv. Data Anal. Classif.
Wan-Lun Wang, Tsung-I Lin
2013 J jnl
An efficient ECM algorithm for maximum likelihood estimation in mixtures of
Comput. Stat.
Wan-Lun Wang, Tsung-I Lin
2013 J jnl
Mixtures of common factor analyzers for high-dimensional data with missing information.
J. Multivar. Anal.
Wan-Lun Wang
2012 J jnl
Bayesian analysis of multivariate t linear mixed models using a combination of IBF and Gibbs samplers.
J. Multivar. Anal.
Wan-Lun Wang, Tsai-Hung Fan
2011 J jnl
Accelerated Life Tests for Weibull Series Systems With Masked Data.
IEEE Trans. Reliab.
Tsai-Hung Fan, Wan-Lun Wang
2010 J jnl
ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors.
Comput. Stat. Data Anal.
Wan-Lun Wang, Tsai-Hung Fan