Article ID Journal Published Year Pages File Type
1149462 Journal of Statistical Planning and Inference 2011 12 Pages PDF
Abstract

In this article, we propose a new generalized multivariate log-gamma distribution. We consider the usage of the proposed multivariate distribution as the prior distribution in the Bayesian analysis. The generalized multivariate log-gamma distribution allows for the inclusion of prior knowledge on correlations between model parameters when likelihood is not in the form of a normal distribution. Use of the proposed distribution in the Bayesian analysis of log-linear models is also discussed.

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
Authors
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