Chapman and Hall/CRC
Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples, and provides R code for implementation. The author shows how
Introduction. Introduction to Bayesian Analysis. Asymptotic Approach for Bayesian Inference. Computational Approach for Bayesian Inference. Bayesian Approach for Model Selection. Simulation Approach for Computing the Marginal Likelihood. Various Bayesian Model Selection Criteria. Theoretical Development and Comparisons. Bayesian Model Averaging. Bibliography. Index.