4.2 Article

Bayesian analysis of zero-inflated distributions

Journal

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
Volume 32, Issue 2, Pages 281-289

Publisher

MARCEL DEKKER INC
DOI: 10.1081/STA-120018186

Keywords

augmented data; Gibbs sampling; Poisson distributions; mixture distributions

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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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