On Bayes Factors for Nonparametric Alternatives
Cinzia Carota, Giovanni Parmigiani · 1996
Abstract In this paper we derive global Bayes factors for the comparison of a parametric model with a nonparametric alternative. The alternative is constructed by embedding the parametric model in a mixture of Dirichlet processes. Results include a general explicit form for partially exchangeable sequences as well as closed form expressions in the context one-way analysis of variance.