Commentary: Cosmological bayesian model selection

Abstract

Model selection methodology is an active field of discussion among statisticians, particularly for disjoint, non-nested models. Roberto Trotta has reviewed the issue in the context of model selection within the context of ΛCDM cosmological models. I briefly discuss the issue from both frequentist and Bayesian perspectives, expressing cautions about use of priors, Bayes factors, and p-values. There are no silver bullets, but Bayes factors seem most promising. © Springer Science+Business Media New York 2013.