Handbook of Bayesian Variable Selection

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