Handbook of Bayesian Variable Selection

x Provides a comprehensive review of methods and applications of Bayesian variable selection.
x Divided into four parts: Spike-and-Slab Priors; Continuous Shrinkage Priors; Extensions to various Modeling; Other Approaches to Bayesian Variable Selection.
x Covers theoretical and methodological aspects, as well as worked out examples with R code provided in the online supplement.
x Includes contributions by experts in the field.