On a multivariate log-gamma distribution and the use of the distribution in the Bayesian analysis |
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Authors: | Haydar Demirhan Canan Hamurkaroglu |
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Affiliation: | Department of Statistics, Hacettepe University, Beytepe, 06800 Ankara, Turkey |
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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. |
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Keywords: | Contingency table Correlation Gibbs sampling Log-linear model Multivariate gamma distribution Symmetry model Multivariate Gumbel distribution |
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