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* 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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