Product Description

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.

Product Details

• Amazon Sales Rank: #344888 in Books
• Published on: 2004-03-26
• Original language: English
• Number of items: 1
• Binding: Paperback
• 352 pages

Significance - the Royal Statistical Society Magazine
Lee's book provides a reasonable introduction to Bayesian statistics

- December 2004

Review
Lee's book provides a reasonable introduction to Bayesian statistics - December 2004 (Significance - the Royal Statistical Society Maga )

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.