Hsiu J. Ho - researchr alias

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Viewing Publication 1 - 8 from 8

2014

Flexible mixture modelling using the multivariate skew-t-normal distributionTsung-I Lin, Hsiu J. Ho, Chia-Rong Lee. sac, 24(4):531-546, 2014. [doi]

2012

Maximum likelihood inference for mixtures of skew Student-t-normal distributions through practical EM-type algorithmsHsiu J. Ho, Saumyadipta Pyne, Tsung I. Lin. sac, 22(1):287-299, 2012. [doi]

Parametric modeling of cellular state transitions as measured with flow cytometryHsiu J. Ho, Tsung I. Lin, Hannah H. Chang, Steven B. Haase, Sui Huang, Saumyadipta Pyne. bmcbi, 13(S-5), 2012. [doi]

2011

Parametric modeling of cellular state transitions as measured with flow cytometrySaumyadipta Pyne, Steven B. Haase, Hsiu J. Ho, Tsung I. Lin. iccabs 2011: 147-152 [doi]

A framework for analytical characterization of monoclonal antibodies based on reactivity profiles in different tissuesElizabeth Rossin, Tsung I. Lin, Hsiu J. Ho, Steven J. Mentzer, Saumyadipta Pyne. bioinformatics, 27(19):2746-2753, 2011. [doi]

2009

Analysis of multivariate skew normal models with incomplete dataTsung I. Lin, Hsiu J. Ho, Chiang L. Chen. ma, 100(10):2337-2351, 2009. [doi]

t mixture models with missing informationTsung-I Lin, Hsiu J. Ho, Pao-Sheng Shen. cstat, 24(3):375-392, 2009. [doi]

2006

On fast supervised learning for normal mixture models with missing informationTsung I. Lin, Jack C. Lee, Hsiu J. Ho. PR, 39(6):1177-1187, 2006. [doi]

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