期刊
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
卷 32, 期 2, 页码 281-289出版社
MARCEL DEKKER INC
DOI: 10.1081/STA-120018186
关键词
augmented data; Gibbs sampling; Poisson distributions; mixture distributions
In this paper zero-inflated distributions (ZID) are studied from the Bayesian point of view using the data augmentation algorithm. This type of discrete model arises in count data with excess of zeros. The zero-inflated Poisson distribution (ZIP) and an illustrative example via MCMC algorithm are considered.
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