Bayesian Analysis of Between-Group Differences in Variance Components in Hierarchical Generalized Linear Models

Abstract

Frequentist approaches to making inferences about the variances of random cluster effects in hierarchical generalized linear models (HGLMs) for non-normal variables have several limitations. These include reliance on asymptotic theory, questionable properties of classical likelihood ratio tests when pseudo-likelihood methods are used for estimation, and a… (More)

Topics

6 Figures and Tables