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Item Details
| Title:
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BAYESIAN CORE: A PRACTICAL APPROACH TO COMPUTATIONAL BAYESIAN STATISTICS
A PRACTICAL APPROACH TO COMPUTATIONAL BAYESIAN STATISTICS |
| By: |
Jean-Michel Marin |
| Format: |
Paperback |
| List price:
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£59.99 |
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We believe that this item is permanently unavailable, and so we cannot source
it.
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| ISBN 10: |
1441922865 |
| ISBN 13: |
9781441922861 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
12 February, 2010 |
| Edition: |
1st ed. Softcover of orig. ed. 2007 |
| Series: |
Springer Texts in Statistics |
| Pages: |
272 |
| Description: |
This Bayesian modeling book provides the perfect entry for gaining a practical understanding of Bayesian methodology. It focuses on standard statistical models and is backed up by discussed real datasets available from the book website. |
| Synopsis: |
This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book. |
| Illustrations: |
80 black & white illustrations, biography |
| Returns: |
Returnable |
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