Handbook of Bayesian Variable Selection (PDF)
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The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for variable selection. It also provides a valuable reference for all interested in applying existing methods and/or pursuing methodological extensions.
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.
- 2021, 1. Auflage, 490 Seiten, Englisch
- Herausgegeben: Mahlet G. Tadesse, Marina Vannucci
- Verlag: Taylor & Francis
- ISBN-10: 1000510204
- ISBN-13: 9781000510201
- Erscheinungsdatum: 24.12.2021
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- Größe: 59 MB
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