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1. Handbook of Bayesian Variable Selection: Mahlet G. Tadesse and Marina Vannucci, eds., Boca Raton, FL: Chapman & Hall/CRC Press, 2022, xxiii + 466 pp., $200.00(H), ISBN: 978-0-367-54376-1.

Author

Ni, Yang

Subjects
*LAPLACE distribution, *ENVIRONMENTAL mapping, *CONTINUOUS distributions, *DATA augmentation, *REGRESSION analysis, *CAUSAL inference
Abstract

Chapters 6 and 7 discuss the horseshoe prior and other global-local shrinkage priors. The book has four parts: spike-and-slab priors (Chapters 1-5), shrinkage priors (Chapters 6-8), extensions to various models (Chapters 9-14), and other approaches to Bayesian variable selection (Chapters 15-19). Bayesian approaches to variable selection first specify suitable prior distributions such as spike-and-slab priors and shrinkage priors. [Extracted from the article]

Published
2023
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