Hierarchical Bayesian Analysis of Bivariate Poisson Regression Model
نویسندگان
چکیده
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.
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