Bayesian analysis of mixture modelling using the multivariate t distribution. - Tsung-I Lin; Jack C. Lee; Huey F. Ni (Stat. Comput., 2004)

On fast supervised learning for normal mixture models with missing information. - Tsung-I Lin; Jack C. Lee; Hsiu J. Ho (Pattern Recognit., 2006)

Robust mixture modeling using the skew t distribution. - Tsung-I Lin; Jack C. Lee; Wan J. Hsieh (Stat. Comput., 2007)

Computationally efficient learning of multivariate t mixture models with missing information. - Tsung-I Lin; Hsiu J. Ho; Pao-Sheng Shen (Comput. Stat., 2009)

Maximum likelihood estimation for multivariate skew normal mixture models. - Tsung-I Lin (J. Multivar. Anal., 2009)

Analysis of multivariate skew normal models with incomplete data. - Tsung-I Lin; Hsiu J. Ho; Chiang L. Chen (J. Multivar. Anal., 2009)

Automated High-Dimensional Flow Cytometric Data Analysis. - Saumyadipta Pyne; Xinli Hu; Kui Wang; Elizabeth Rossin; Tsung-I Lin; Lisa Maier; Clare Baecher-Allan; Geoffrey J. McLachlan; Pablo Tamayo; David Hafler; Philip L. De Jager; Jill P. Mesirov (RECOMB, 2010)

Supervised learning of multivariate skew normal mixture models with missing information. - Tzy-Chy Lin; Tsung-I Lin (Comput. Stat., 2010)

Robust mixture modeling using multivariate skew t distributions. - Tsung-I Lin (Stat. Comput., 2010)

Parametric modeling of cellular state transitions as measured with flow cytometry. - Saumyadipta Pyne; Steven B. Haase; Hsiu J. Ho; Tsung-I Lin (ICCABS, 2011)

A framework for analytical characterization of monoclonal antibodies based on reactivity profiles in different tissues. - Elizabeth Rossin; Tsung-I Lin; Hsiu J. Ho; Steven J. Mentzer; Saumyadipta Pyne (Bioinform., 2011)

Parametric modeling of cellular state transitions as measured with flow cytometry. - Hsiu J. Ho; Tsung-I Lin; Hannah H. Chang; Steven B. Haase; Sui Huang; Saumyadipta Pyne (BMC Bioinform., 2012)

Maximum likelihood inference for mixtures of skew Student-t-normal distributions through practical EM-type algorithms. - Hsiu J. Ho; Saumyadipta Pyne; Tsung-I Lin (Stat. Comput., 2012)

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

Learning from incomplete data via parameterized t mixture models through eigenvalue decomposition. - Tsung-I Lin (Comput. Stat. Data Anal., 2014)

Flexible mixture modelling using the multivariate skew-t-normal distribution. - Tsung-I Lin; Hsiu J. Ho; Chia-Rong Lee (Stat. Comput., 2014)

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

The Third Special Issue on Advances in Mixture Models. - John Hinde; Salvatore Ingrassia; Tsung-I Lin; Paul D. McNicholas (Comput. Stat. Data Anal., 2016)

Extending mixtures of factor models using the restricted multivariate skew-normal distribution. - Tsung-I Lin; Geoffrey J. McLachlan; Sharon X. Lee (J. Multivar. Anal., 2016)

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

A general class of scale-shape mixtures of skew-normal distributions: properties and estimation. - Ahad Jamalizadeh; Tsung-I Lin (Comput. Stat., 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)

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)

Editorial for the 4th Special Issue on advances in mixture models. - Jochen Einbeck; John Hinde; Salvatore Ingrassia; Tsung-I Lin; Paul D. McNicholas (Comput. Stat. Data Anal., 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)

Shape mixtures of skew-t-normal distributions: characterizations and estimation. - Mostafa Tamandi; Ahad Jamalizadeh; Tsung-I Lin (Comput. Stat., 2019)

A novel mixture model using the multivariate normal mean-variance mixture of Birnbaum-Saunders distributions and its application to extrasolar planets. - Mehrdad Naderi; Wen-Liang Hung; Tsung-I Lin; Ahad Jamalizadeh (J. Multivar. 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)

Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions. - Sharon X. Lee; Tsung-I Lin; Geoffrey J. McLachlan (Adv. Data Anal. Classif., 2021)

Maximum likelihood estimation for scale-shape mixtures of flexible generalized skew normal distributions via selection representation. - Abbas Mahdavi; Vahid Amirzadeh; Ahad Jamalizadeh; Tsung-I Lin (Comput. Stat., 2021)

A Multivariate Flexible Skew-Symmetric-Normal Distribution: Scale-Shape Mixtures and Parameter Estimation via Selection Representation. - Abbas Mahdavi; Vahid Amirzadeh; Ahad Jamalizadeh; Tsung-I Lin (Symmetry, 2021)

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

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)

Skew Multiple Scaled Mixtures of Normal Distributions with Flexible Tail Behavior and Their Application to Clustering. - Abbas Mahdavi; Anthony F. Desmond; Ahad Jamalizadeh; Tsung-I Lin (J. 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)