Tsung-l Lin

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Geoff McLachlanProfessor of Statistics, University of QueenslandVerified email at uq.edu.au
Ahad JamalizadehShahid Bahonar University of Kerman, Kerman, IranVerified email at uk.ac.ir
Victor Hugo Lachos DavilaProfessor at University of ConnecticutVerified email at uconn.edu
Sharon LeeUniversity of QueenslandVerified email at uq.edu.au
Mauricio CastroPontificia Universidad Católica de ChileVerified email at mat.puc.cl
Mehrdad NaderiLecturer in Statistics, Northumbria UniversityVerified email at northumbria.ac.uk
Paul D. McNicholasProfessor & Canada Research Chair, McMaster University, Ontario, CanadaVerified email at math.mcmaster.ca
Aldo Medina GarayFederal University of PernambucoVerified email at de.ufpe.br
Abbas MahdaviDepartment of Statistics, Faculty of Mathematical Sciences, Vali-e-Asr University of RafsanjanVerified email at vru.ac.ir
Christian Galarza MoralesProfesor, Facultad de Ciencias Naturales y Matemáticas, Escuela Superior Politécnica del LitoralVerified email at espol.edu.ec
Mohammad ArashiProfessor of Statistics, Ferdowsi University of MashhadVerified email at um.ac.ir
Mostafa TamandiDepartment of Statistics, Vali-e-Asr University of Rafsanjan, Iran.Verified email at vru.ac.ir
Larissa Avila MatosUniversidade Estadual de CampinasVerified email at ime.unicamp.br
Celso Rômulo Barbosa CabralFull Professor, Department of Statistics, Federal Univesity of AmazonasVerified email at ufam.edu.br
Roohollah RoozegarYasouj UniversityVerified email at yu.ac.ir
Francyelle de Lima MedinaFederal Univesity of PernambucoVerified email at de.ufpe.br
Hsiu J. Ho
Farzaneh HashemiShahid Bahonar University of KermanVerified email at sci.uk.ac.ir
Vahid AmirzadehShahid Bahonar University of Kerman

Tsung-l Lin

Institute of Statistics, National Chung Hsing University

Verified email at nchu.edu.tw - Homepage

Multivariate Analysis Computational Statistics Bayesian Analysis


Title Sort by citations Sort by year Sort by 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	497	2009
Robust mixture modeling using multivariate skew t distributions TI Lin Statistics and Computing 20, 343-356, 2010	273	2010
Finite mixture modelling using the skew normal distribution TI Lin, JC Lee, SY Yen Statistica Sinica, 909-927, 2007	252	2007
Robust mixture modeling using the skew t distribution TI Lin, JC Lee, WJ Hsieh Statistics and computing 17, 81-92, 2007	215	2007
Maximum likelihood estimation for multivariate skew normal mixture models TI Lin Journal of Multivariate Analysis 100 (2), 257-265, 2009	212	2009
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	126	2008
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	104	2010
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	84	2016
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	84	2012
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	81	2008
Flexible mixture modelling using the multivariate skew-t-normal distribution TI Lin, HJ Ho, CR Lee Statistics and Computing 24, 531-546, 2014	79	2014
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, 287-299, 2012	64	2012
On fast supervised learning for normal mixture models with missing information TI Lin, JC Lee, HJ Ho Pattern Recognition 39 (6), 1177-1187, 2006	60	2006
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	59	2007
A skew-normal mixture regression model M Liu, TI Lin Educational and Psychological Measurement 74 (1), 139-162, 2014	57	2014
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	55	2006
Bayesian analysis of mixture modelling using the multivariate t distribution TI Lin, JC Lee, HF Ni Statistics and Computing 14, 119-130, 2004	50	2004
Capturing patterns via parsimonious t mixture models TI Lin, PD McNicholas, HJ Ho Statistics & Probability Letters 88, 80-87, 2014	49	2014
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	48	2018
Analysis of multivariate skew normal models with incomplete data TI Lin, HJ Ho, CL Chen Journal of Multivariate Analysis 100 (10), 2337-2351, 2009	46	2009

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