Sinossi
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), now the standard computational tool for such numerical work. Other updates include new material on generalized linear modeling and Bernardo's theory of reference points.
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Bayesian Statistics: An Introduction
Editore:
John Wiley and Sons, 2004
ISBN 10: 047068920X
ISBN 13: 9780470689202
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Da: Anybook.com, Lincoln, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Book contains pen markings. In poor condition, suitable as a reading copy. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780470689202. Codice articolo 3983370
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Spedito da Regno Unito a U.S.A.
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