Bayesian Statistics: An Introduction

About this book

Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lees classic introduction maintains the clarity of exposition and use of examples for which the 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 as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modeling and Bernardos theory of reference points.