Bayesian statistics
Subtitle: an introduction
By: Peter M. Lee.
Edition: 3rd ed.
Publisher: Arnold; Wiley
Published: 2004
Place of publication: London; New York
Language: eng
Number of pages: 351
Subjects: Bayesian statistical decision theory.
Description: Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee's 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 Bernardo's theory of reference points.
Notes: Includes bibliographical references (p. [329]-337) and index.