Parametric and nonparametric Bayesian model specification: A case study involving models for count data

Abstract

In this paper we present the results of a simulation study to explore the ability of Bayesian parametric and nonparametric models to provide an adequate fit to count data, of the type that would routinely be analyzed parametrically either through fixed-effects or random-effects Poisson models. The context of the study is a randomized controlled trial with… (More)
DOI: 10.1016/j.csda.2007.07.010

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Cite this paper

@article{Krnjajic2008ParametricAN, title={Parametric and nonparametric Bayesian model specification: A case study involving models for count data}, author={Milovan Krnjajic and Athanasios Kottas and David Draper}, journal={Computational Statistics & Data Analysis}, year={2008}, volume={52}, pages={2110-2128} }