A First Course in Bayesian Statistical Methods

Hoff, Peter D.

ISBN 10: 0387922997 ISBN 13: 9780387922997
Edité par Springer New York, 2009
Ancien(s) ou d'occasion Couverture rigide

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Used book that is in almost brand-new condition. N° de réf. du vendeur 51647301-6

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Synopsis :

  1. A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material.

  2. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.

  3. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Détails bibliographiques

Titre : A First Course in Bayesian Statistical ...
Éditeur : Springer New York
Date d'édition : 2009
Reliure : Couverture rigide
Etat : As New
Edition : 1st Edition.

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Peter D. Hoff
ISBN 10 : 0387922997 ISBN 13 : 9780387922997
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Hardcover. Etat : new. Hardcover. * A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. * Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. * The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods. This compact, self-contained introduction to the theory and application of Bayesian statistical methods is accessible to those with a basic familiarity with probability, yet allows advanced readers to grasp the principles underlying Bayesian theory and method. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780387922997

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Peter D. Hoff
ISBN 10 : 0387922997 ISBN 13 : 9780387922997
Neuf Couverture rigide Edition originale

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Hardcover. Etat : new. Hardcover. * A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. * Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. * The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods. This compact, self-contained introduction to the theory and application of Bayesian statistical methods is accessible to those with a basic familiarity with probability, yet allows advanced readers to grasp the principles underlying Bayesian theory and method. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9780387922997

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