Handbook of Markov Chain Monte Carlo (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

S.Brooks, A.Gelman,G.L.Jones,X.-L.Meng, ed.

ISBN 10: 1420079417 / ISBN 13: 9781420079418

Published by Chapman and Hall/CRC, 2011

About this Item

Used, like-new, tight spine, no markings, from smoke-free environment.

Seller Inventory # B110

Bibliographic Details

• Title: Handbook of Markov Chain Monte Carlo (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
• Publisher: Chapman and Hall/CRC
• Publication Date: 2011
• Language: English
• ISBN 10: 1420079417
• ISBN 13: 9781420079418
• Binding: Hardcover
• Edition: 1st Edition
• Condition: Very Good
• Dimensions: 3.18W x 19.05H x 26.67D centimeters 3.18 centimeters width by 19.05 centimeters height by 26.67 centimeters depth
• Weight: 1250 grams

About this title

Synopsis

Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an astonishing array of disciplines as diverse as fisheries science and economics. The wide-ranging practical importance of MCMC has sparked an expansive and deep investigation into fundamental Markov chain theory.

The Handbook of Markov Chain Monte Carlo provides a reference for the broad audience of developers and users of MCMC methodology interested in keeping up with cutting-edge theory and applications. The first half of the book covers MCMC foundations, methodology, and algorithms. The second half considers the use of MCMC in a variety of practical applications including in educational research, astrophysics, brain imaging, ecology, and sociology.

The in-depth introductory section of the book allows graduate students and practicing scientists new to MCMC to become thoroughly acquainted with the basic theory, algorithms, and applications. The book supplies detailed examples and case studies of realistic scientific problems presenting the diversity of methods used by the wide-ranging MCMC community. Those familiar with MCMC methods will find this book a useful refresher of current theory and recent developments.

About the Author

Steve Brooks, Andrew Gelman, Galin Jones, Xiao-Li Meng