* 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.
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