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