Tsung-I Lin

41 papers B 1Journal 39Unranked 1
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
Skew Multiple Scaled Mixtures of Normal Distributions with Flexible Tail Behavior and Their Application to Clustering.
J. Classif.
Abbas Mahdavi, Anthony F. Desmond, Ahad Jamalizadeh, Tsung-I Lin
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
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
2021 J jnl
A Multivariate Flexible Skew-Symmetric-Normal Distribution: Scale-Shape Mixtures and Parameter Estimation via Selection Representation.
Symmetry
Abbas Mahdavi, Vahid Amirzadeh, Ahad Jamalizadeh, Tsung-I Lin
2021 J jnl
Maximum likelihood estimation for scale-shape mixtures of flexible generalized skew normal distributions via selection representation.
Comput. Stat.
Abbas Mahdavi, Vahid Amirzadeh, Ahad Jamalizadeh, Tsung-I Lin
2021 J jnl
Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions.
Adv. Data Anal. Classif.
Sharon X. Lee, Tsung-I Lin, Geoffrey J. McLachlan
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
A novel mixture model using the multivariate normal mean-variance mixture of Birnbaum-Saunders distributions and its application to extrasolar planets.
J. Multivar. Anal.
Mehrdad Naderi, Wen-Liang Hung, Tsung-I Lin, Ahad Jamalizadeh
2019 J jnl
Editorial for the 4th Special Issue on advances in mixture models.
Comput. Stat. Data Anal.
Jochen Einbeck, John Hinde, Salvatore Ingrassia, Tsung-I Lin, Paul D. McNicholas
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
2019 J jnl
Shape mixtures of skew-
Comput. Stat.
Mostafa Tamandi, Ahad Jamalizadeh, Tsung-I Lin
2017 J jnl
A general class of scale-shape mixtures of skew-normal distributions: properties and estimation.
Comput. Stat.
Ahad Jamalizadeh, 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
Extending mixtures of factor models using the restricted multivariate skew-normal distribution.
J. Multivar. Anal.
Tsung-I Lin, Geoffrey J. McLachlan, Sharon X. Lee
2016 J jnl
Maximum likelihood inference for the multivariate t mixture model.
J. Multivar. Anal.
Wan-Lun Wang, Tsung-I Lin
2016 J jnl
The Third Special Issue on Advances in Mixture Models.
Comput. Stat. Data Anal.
John Hinde, Salvatore Ingrassia, Tsung-I Lin, Paul D. McNicholas
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
2014 J jnl
Flexible mixture modelling using the multivariate skew-t-normal distribution.
Stat. Comput.
Tsung-I Lin, Hsiu J. Ho, Chia-Rong Lee
2014 J jnl
Learning from incomplete data via parameterized t mixture models through eigenvalue decomposition.
Comput. Stat. Data Anal.
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
2012 J jnl
Maximum likelihood inference for mixtures of skew Student-t-normal distributions through practical EM-type algorithms.
Stat. Comput.
Hsiu J. Ho, Saumyadipta Pyne, Tsung-I Lin
2012 J jnl
Parametric modeling of cellular state transitions as measured with flow cytometry.
BMC Bioinform.
Hsiu J. Ho, Tsung-I Lin, Hannah H. Chang, Steven B. Haase, Sui Huang, Saumyadipta Pyne
2011 J jnl
A framework for analytical characterization of monoclonal antibodies based on reactivity profiles in different tissues.
Bioinform.
Elizabeth Rossin, Tsung-I Lin, Hsiu J. Ho, Steven J. Mentzer, Saumyadipta Pyne
2011 — conf
Parametric modeling of cellular state transitions as measured with flow cytometry.
ICCABS
Saumyadipta Pyne, Steven B. Haase, Hsiu J. Ho, Tsung-I Lin
2010 B conf
Automated High-Dimensional Flow Cytometric Data Analysis.
RECOMB
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
2010 J jnl
Robust mixture modeling using multivariate skew
Stat. Comput.
Tsung-I Lin
2010 J jnl
Supervised learning of multivariate skew normal mixture models with missing information.
Comput. Stat.
Tzy-Chy Lin, Tsung-I Lin
2009 J jnl
Analysis of multivariate skew normal models with incomplete data.
J. Multivar. Anal.
Tsung-I Lin, Hsiu J. Ho, Chiang L. Chen
2009 J jnl
Computationally efficient learning of multivariate
Comput. Stat.
Tsung-I Lin, Hsiu J. Ho, Pao-Sheng Shen
2009 J jnl
Maximum likelihood estimation for multivariate skew normal mixture models.
J. Multivar. Anal.
Tsung-I Lin
2007 J jnl
Robust mixture modeling using the skew
Stat. Comput.
Tsung-I Lin, Jack C. Lee, Wan J. Hsieh
2006 J jnl
On fast supervised learning for normal mixture models with missing information.
Pattern Recognit.
Tsung-I Lin, Jack C. Lee, Hsiu J. Ho
2004 J jnl
Bayesian analysis of mixture modelling using the multivariate t distribution.
Stat. Comput.
Tsung-I Lin, Jack C. Lee, Huey F. Ni