Bayesian statistics: an introduction.

Lee, Peter M.

ISBN 10: 1118332571 / ISBN 13: 9781118332573

Published by New York: John Wiley and Sons, (2012, 2012

About this Item

fourth edition).Octavo,462 pp.,softcover. Now in its fourth edition, this book looks at recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation and Reversible Jump Markov Chain Monte Carlo (RJMCMC). This book provides a concise account of the way in which the Bayesian approach to statistics develops as well as how it contrasts with the conventional approach. The theory is built up step by step, and important notions such as sufficiency are brought out of a discussion of the salient features of specific examples. This edition also includes expanded coverage of Gibbs sampling, including mor numerical examples and treatments of OpenBUGS, R2WinBUGS and R2OpenBUGS. This book is best suited for use as a main text in courses on Bayesian statistics for third and fourth year undergraduates and postgraduate students. Seller Inventory # 34924

Bibliographic Details

Title: Bayesian statistics: an introduction.

Publisher: New York: John Wiley and Sons, (2012

Publication Date: 2012

Binding: Soft cover

Edition: 4th Edition

About this title

Synopsis:

Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee's book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques.

Review:

"As a lifelong non-statistician and sporadic "user" of statistics, I have not come across another advanced statistics book (as I would characterize this one) that offers so much to the non-expert and, I'll bet, to the expert as well. The book has my highest recommendation." (Computing Reviews, 7 January 2013)