文章基本信息

标题：Hierarchical Bayesian Analysis of Bivariate Poisson Regression Model
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作者：Soraya Khafri ; Anoshirvan Kazemnejad ; Farzad 等
期刊名称：World Applied Sciences Journal
印刷版ISSN：1818-4952
电子版ISSN：1991-6426
出版年度：2008
卷号：4
期号：05
页码：667-675
出版社：International Digital Organization for Scientific Information Publications
摘要：This article is concerned with the analysis of correlated count data, a class of model in which the correlation between the counts is presented by correlated unobserved heterogeneity components. A Hierarchical Bayesian analysis is used for estimation of the parameters. A Gibbs sampling algorithm is suggested for find posterior densities of parameters. The proposed method is applied to IVF data in infertile couples.
关键词：Bivariate count data · poisson-lognormal distribution · hierarchical model · metropolis -hasting algorithm · infertility