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Bayesian Core A Practical Approach To Computational Bayesian Statistics Springer Texts In Statistics Jeanmichel Marin

  • SKU: BELL-2382624
Bayesian Core A Practical Approach To Computational Bayesian Statistics Springer Texts In Statistics Jeanmichel Marin
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Bayesian Core A Practical Approach To Computational Bayesian Statistics Springer Texts In Statistics Jeanmichel Marin instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 48.32 MB
Pages: 264
Author: Jean-Michel Marin, Christian Robert
ISBN: 9781441922861, 1441922865
Language: English
Year: 2007

Product desciption

Bayesian Core A Practical Approach To Computational Bayesian Statistics Springer Texts In Statistics Jeanmichel Marin by Jean-michel Marin, Christian Robert 9781441922861, 1441922865 instant download after payment.

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.

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