Handbook of Bayesian Variable Selection (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
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Summary
* 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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* 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.
Mahlet Tadesse is Professor and Chair in the Department of Mathematics and Statistics at Georgetown University, USA. Her research over the past two decades has focused on Bayesian modeling for high-dimensional data with an emphasis on variable selection methods and mixture models. She also works on various interdisciplinary projects in genomics and public health. She is a recipient of the Myrto Lefkopoulou Distinguished Lectureship award, an elected member of the International Statistical Institute and an elected fellow of the American Statistical Association.
Marina Vannucci is Noah Harding Professor of Statistics at Rice University, USA. Her research over the past 25 years has focused on the development of methodologies for Bayesian variable selection in linear settings, mixture models and graphical models, and on related computational algorithms. She also has a solid history of scientific collaborations and is particularly interested in applications of Bayesian inference to genomics and neuroscience. She has received an NSF CAREER award and the Mitchell prize by ISBA for her research, and the Zellner Medal by ISBA for exceptional service over an extended period of time with long-lasting impact. She is an elected Member of ISI and RSS and an elected fellow of ASA, IMS, AAAS and ISBA.
Title: Handbook of Bayesian Variable Selection (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
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ISBN: 9780367543761
Binding:
Publisher: Taylor & Francis Ltd
Publication Date: 2021-12-21
Number of Pages: 490
Weight: 1.0253 kg
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