Tsung-l Lin 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	3313	1496
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Ahad JamalizadehShahid Bahonar University of Kerman, Kerman, Iran在 uk.ac.ir 的电子邮件经过验证
Victor Hugo Lachos DavilaProfessor at University of Connecticut在 uconn.edu 的电子邮件经过验证
Sharon LeeUniversity of Queensland在 uq.edu.au 的电子邮件经过验证
Mehrdad NaderiLecturer in Statistics, Northumbria University在 northumbria.ac.uk 的电子邮件经过验证
Mauricio CastroPontificia Universidad Católica de Chile在 uc.cl 的电子邮件经过验证
Paul D. McNicholasProfessor & Canada Research Chair, McMaster University, Ontario, Canada在 math.mcmaster.ca 的电子邮件经过验证
Abbas MahdaviDepartment of Statistics, Faculty of Mathematical Sciences, Vali-e-Asr University of Rafsanjan在 vru.ac.ir 的电子邮件经过验证
Aldo Medina GarayFederal University of Pernambuco在 de.ufpe.br 的电子邮件经过验证
Mostafa TamandiDepartment of Statistics, Vali-e-Asr University of Rafsanjan, Iran.在 vru.ac.ir 的电子邮件经过验证
Christian Galarza MoralesProfesor, Facultad de Ciencias Naturales y Matemáticas, Escuela Superior Politécnica del Litoral在 espol.edu.ec 的电子邮件经过验证
Mohammad ArashiProfessor of Statistics, Ferdowsi University of Mashhad在 um.ac.ir 的电子邮件经过验证
Larissa Avila MatosUniversidade Estadual de Campinas在 ime.unicamp.br 的电子邮件经过验证
Celso Rômulo Barbosa CabralFull Professor, Department of Statistics, Federal Univesity of Amazonas在 ufam.edu.br 的电子邮件经过验证
Roohollah RoozegarYasouj University在 yu.ac.ir 的电子邮件经过验证
Francyelle de Lima MedinaFederal Univesity of Pernambuco在 de.ufpe.br 的电子邮件经过验证
Hsiu J. Ho
Farzaneh HashemiShahid Bahonar University of Kerman在 sci.uk.ac.ir 的电子邮件经过验证
Vahid AmirzadehShahid Bahonar University of Kerman

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Tsung-l Lin

Institute of Statistics, National Chung Hsing University

在 nchu.edu.tw 的电子邮件经过验证 - 首页

Multivariate Analysis Computational Statistics Bayesian Analysis


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	278	2010
Finite mixture modelling using the skew normal distribution TI Lin, JC Lee, SY Yen Statistica Sinica, 909-927, 2007	257	2007
Robust mixture modeling using the skew t distribution TI Lin, JC Lee, WJ Hsieh Statistics and computing 17, 81-92, 2007	218	2007
Maximum likelihood estimation for multivariate skew normal mixture models TI Lin Journal of Multivariate Analysis 100 (2), 257-265, 2009	216	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	127	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	87	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	85	2012
Flexible mixture modelling using the multivariate skew-t-normal distribution TI Lin, HJ Ho, CR Lee Statistics and Computing 24, 531-546, 2014	81	2014
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	80	2008
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	62	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	58	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	51	2004
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	49	2018
Capturing patterns via parsimonious t mixture models TI Lin, PD McNicholas, HJ Ho Statistics & Probability Letters 88, 80-87, 2014	49	2014
Analysis of multivariate skew normal models with incomplete data TI Lin, HJ Ho, CL Chen Journal of Multivariate Analysis 100 (10), 2337-2351, 2009	45	2009

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