期刊
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
卷 30, 期 2, 页码 243-255出版社
MARCEL DEKKER INC
DOI: 10.1081/STA-100002028
关键词
Markov Chain Monte Carlo; regression; multivariate distributions; hierarchical models; environmental damage
The paper proposes a regression model for the multivariate Poisson distribution. So far inference in multivariate Poisson distributions has been prevented by the fact that computation of the probability mass function is difficult. Bayesian methods of inference are proposed which are organized around computational methods based on Gibbs sampling with data augmentation. The new methods are illustrated using artificial data as well as European forest damage data.
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