2010/12/21 by Garfield Brown, Brown, Garfield, Winston Buckley +1
Computer Science · Mathematics · #Applications (stat.AP) #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Statistical Methods and Bayesian Inference #stat.AP
paper · pdf · doi:10.48550/arxiv.1012.4676
arxiv created 2010/12/21 · openalex publication_date 2010/12/21 · arxiv updated 2010/12/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, we review and apply several approaches to model selection for analysis of variance models which are used in a credibility and insurance context. The reversible jump algorithm is employed for model selection, where posterior model probabilities are computed. We then apply this method to insurance data from workers' compensation insurance schemes. The reversible jump results are compared with the Deviance Information Criterion, and are shown to be consistent.