Bayesian Statistics: An Introduction - Softcover

Lee, Peter M.

Softcover

ISBN 10: 019520803X ISBN 13: 9780195208030

Publisher: Oxford University Press, 1989

Synopsis

This volume provides full coverage of Bayesian statistics--perhaps the only fully self-consistent approach in statistics. The book furnishes an understandable treatment of the basic concepts and gives the reader useful information on where and why this somewhat controversial approach differs from "classical" statistics. The appendices include useful tables that are not readily available in other references. The book is based on a a highly successful lecture series for advanced undergraduates and fills a need for a text that is never too elemental nor too technical.

About this title

From the Publisher

This new edition of Lee's popular book introduces the Bayesian philosophy of statistics. It has been completely updated and features new chapters on Gibbs sampling and hierarchical methods and more exercises.

From the Back Cover

Bayesian Statistics is the school of thought that uses all information surrounding the likelihood of an event rather than just that collected experimentally. Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee’s well-established introduction maintains the clarity of exposition and use of examples for which this text is known and praised.  In addition, there is extended coverage of the Metropolis-Hastings algorithm as well as an introduction to the use of BUGS (Bayesian Inference Using Gibbs Sampling) as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modelling and Bernardo’s theory of reference points.

Edition details

• Publisher: Oxford University Press
• Publication date: 1989
• ISBN 10: 019520803X
• ISBN 13: 9780195208030
• Binding: Paperback
• Language: English
• Number of pages: 304