An introduction to Bayesian philosophy for statistics students. This edition contains new chapters on Gibbs sampling, computer-intensive methods, and hierarchical methods. There are examples throughout, and the number of exercises has been increased and the whole text brought up-to-date.

Pr�sentation de l'�diteur

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.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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