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Activity Number: 355 - Contributed Poster Presentations: Section on Bayesian Statistical Science
Type: Contributed
Date/Time: Tuesday, August 1, 2017 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #324140
Title: Multivariate Generalized Linear Mixed Model with Common Random Effects
Author(s): Ding Xiang* and Galin Jones
Companies: University of Minnesota and University of Minnesota
Keywords: MCMC ; Exponential Family ; Covariance Structure ; Model Selection
Abstract:

We propose a Bayesian solution to Multivariate Generalized Linear Mixed Model via MCMC algorithm. We consider a general Exponential family setting with a common random structure in the joint model. Good prediction and estimation performance are achieved compared with some other existing models.


Authors who are presenting talks have a * after their name.

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