Thoroughly updated and expanded, this successful introduction to the subject includes a new chapter on hierarchical methods in Bayesian statistics and gives a fuller treatment of empirical Bayes methods. It also includes a chapter on real numerical methods, especially the EM algorithm and Gibbs sampling, and a description of Bayes linear methods.
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.
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Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780340677858. Artikel-Nr. 9641665
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