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
