{"id":2775,"date":"2018-09-15T11:09:14","date_gmt":"2018-09-15T15:09:14","guid":{"rendered":"https:\/\/www.med.unc.edu\/bigs2\/?page_id=2775"},"modified":"2024-01-12T06:55:05","modified_gmt":"2024-01-12T11:55:05","slug":"zhaohua-lu","status":"publish","type":"page","link":"https:\/\/www.med.unc.edu\/bigs2\/people\/alumni\/zhaohua-lu\/","title":{"rendered":"Zhaohua Lu"},"content":{"rendered":"
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\"\"<\/td>\nPost Doctoral Research Associate<\/b><\/p>\n

Biostatistics<\/p>\n

Email: luz at email dot unc dot edu<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

\n

 <\/p>\n

Education<\/b><\/p>\n

2010 PhD in Statistics, the Chinese University of Hong Kong, China<\/p>\n

2006 BSc in Statistics, Sun Yat-sen University, Guangzhou, China<\/p>\n<\/div>\n

\n

 <\/p>\n

Research Interests<\/b><\/p>\n

Bayesian Methods<\/p>\n

Latent variable model<\/p>\n

MCMC algorithm<\/p>\n

Mixture model<\/p>\n

 <\/p>\n<\/div>\n

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Publications<\/b><\/p>\n

Journal Papers<\/b><\/p>\n

1.Song, X. Y. and Lu Z. H.<\/b> (2010) Semiparametric latent variable models with Bayesian P-splines. Journal of Computational and Graphical Statistics, 19(3): 590-608.<\/p>\n

2. Song, X. Y., Lu Z. H.<\/b> Lee, S. Y., and Hser Y. I. (2011) A Bayesian approach for analyzing longitudinal structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 18, 183-194.<\/p>\n

3. Song, X. Y. and Lu Z. H.<\/b> (2011) Response to “Comments on ‘Bayesian variable selection for disease classi?cation using gene expression data'”, Bioinformatics, accepted.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Post Doctoral Research Associate Biostatistics Email: luz at email dot unc dot edu   Education 2010 PhD in Statistics, the Chinese University of Hong Kong, China 2006 BSc in Statistics, Sun Yat-sen University, Guangzhou, China   Research Interests Bayesian Methods Latent variable model MCMC algorithm Mixture model   Publications Journal Papers 1.Song, X. Y. and … Read more<\/a><\/p>\n","protected":false},"author":1503,"featured_media":0,"parent":3875,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-2775","page","type-page","status-publish","hentry","odd"],"acf":[],"yoast_head":"\nZhaohua Lu - BIG-S2<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Zhaohua Lu - BIG-S2\" \/>\n<meta property=\"og:description\" content=\"Post Doctoral Research Associate Biostatistics Email: luz at email dot unc dot edu   Education 2010 PhD in Statistics, the Chinese University of Hong Kong, China 2006 BSc in Statistics, Sun Yat-sen University, Guangzhou, China   Research Interests Bayesian Methods Latent variable model MCMC algorithm Mixture model   Publications Journal Papers 1.Song, X. 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