Bayesian Statistics: An Introduction - Couverture souple

Lee, Peter M.

Couverture souple

ISBN 10 : 0852643098 ISBN 13 : 9780852643099

Editeur : Hodder Arnold, 1989

Synopsis

Book by Lee Peter M

A propos du livre

Présentation de l'éditeur :

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.

Présentation de l'éditeur :

Among statisticians the Bayesian approach continues to gain adherents and so it is appropriate that Peter Lee has updated and expanded his successful introduction to the subject in this second edition. An additional chapter has been added which deals with hierarchical methods in Bayesian statistics and gives a fuller treatment of empirical Bayes methods. Another chapter deals with real numerical methods, especially the EM algorithm and Gibbs sampling. Other alterations have been made throughout the text, including the addition of a brief description of Bayes linear methods, and the number of exercises has been considered increased.

À propos de cette édition

• Éditeur: Hodder Arnold
• Date d'édition: 1989
• ISBN 10: 0852643098
• ISBN 13: 9780852643099
• Reliure: Broché
• Nombre de pages: 304