ABSTRACT
ABSTRACT Bayesian methods are considered for analyzing correlated ordinal data.
We present a new approach to Bayesian hierarchical generalized linear models using
parametric classical approaches to these are intractable and thus Bayesian methods
algorithms to perform the Bayesian analysis are further developed and a real data
example is used to illustrate the methodologies.
