Tsung-l Lin
Tsung-l Lin
Institute of Statistics, National Chung Hsing University
Verified email at nchu.edu.tw - Homepage
Title
Cited by
Cited by
Year
Automated high-dimensional flow cytometric data analysis
S Pyne, X Hu, K Wang, E Rossin, TI Lin, LM Maier, C Baecher-Allan, ...
Proceedings of the National Academy of Sciences 106 (21), 8519-8524, 2009
3802009
Robust mixture modeling using multivariate skew t distributions
TI Lin
Statistics and Computing 20 (3), 343-356, 2010
2002010
Finite mixture modelling using the skew normal distribution
TI Lin, JC Lee, SY Yen
Statistica Sinica, 909-927, 2007
1822007
Robust mixture modeling using the skew t distribution
TI Lin, JC Lee, WJ Hsieh
Statistics and computing 17 (2), 81-92, 2007
1652007
Maximum likelihood estimation for multivariate skew normal mixture models
TI Lin
Journal of Multivariate Analysis 100 (2), 257-265, 2009
1562009
Estimation and prediction in linear mixed models with skew‐normal random effects for longitudinal data
TI Lin, JC Lee
Statistics in medicine 27 (9), 1490-1507, 2008
1052008
Robust linear mixed models using the skew t distribution with application to schizophrenia data
HJ Ho, TI Lin
Biometrical Journal 52 (4), 449-469, 2010
832010
Constant elasticity of variance (CEV) option pricing model: Integration and detailed derivation
YL Hsu, TI Lin, CF Lee
Mathematics and Computers in Simulation 79 (1), 60-71, 2008
642008
Extending mixtures of factor models using the restricted multivariate skew-normal distribution
TI Lin, GJ McLachlan, SX Lee
Journal of Multivariate Analysis 143, 398-413, 2016
532016
Maximum likelihood inference for mixtures of skew Student-t-normal distributions through practical EM-type algorithms
HJ Ho, S Pyne, TI Lin
Statistics and Computing 22 (1), 287-299, 2012
492012
Some results on the truncated multivariate t distribution
HJ Ho, TI Lin, HY Chen, WL Wang
Journal of Statistical Planning and Inference 142 (1), 25-40, 2012
482012
Bayesian analysis of hierarchical linear mixed modeling using the multivariate t distribution
TI Lin, JC Lee
Journal of Statistical Planning and Inference 137 (2), 484-495, 2007
472007
On fast supervised learning for normal mixture models with missing information
TI Lin, JC Lee, HJ Ho
Pattern Recognition 39 (6), 1177-1187, 2006
472006
Flexible mixture modelling using the multivariate skew-t-normal distribution
TI Lin, HJ Ho, CR Lee
Statistics and Computing 24 (4), 531-546, 2014
462014
A robust approach to t linear mixed models applied to multiple sclerosis data
TI Lin, JC Lee
Statistics in Medicine 25 (8), 1397-1412, 2006
442006
Bayesian analysis of mixture modelling using the multivariate t distribution
TI Lin, JC Lee, HF Ni
Statistics and Computing 14 (2), 119-130, 2004
412004
Capturing patterns via parsimonious t mixture models
TI Lin, PD McNicholas, HJ Ho
Statistics & Probability Letters 88, 80-87, 2014
372014
Analysis of multivariate skew normal models with incomplete data
TI Lin, HJ Ho, CL Chen
Journal of Multivariate Analysis 100 (10), 2337-2351, 2009
332009
A skew-normal mixture regression model
M Liu, TI Lin
Educational and Psychological Measurement 74 (1), 139-162, 2014
312014
Extending multivariate-t linear mixed models for multiple longitudinal data with censored responses and heavy tails
WL Wang, TI Lin, VH Lachos
Statistical methods in medical research 27 (1), 48-64, 2018
272018
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