Bayesian Core: A Practical Approach to Computational Bayesian Statistics

Released on by Jean-Michel Marin
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  • Bayesian Core: A Practical Approach to Computational Bayesian Statistics Book Detail

  • Author : Jean-Michel Marin
  • Release Date : 2007-05-26
  • Publisher : Springer Science & Business Media
  • Genre : Mathematics
  • Pages : 265
  • ISBN 13 : 0387389830
  • File Size : 12,12 MB
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Bayesian Core: A Practical Approach to Computational Bayesian Statistics by Jean-Michel Marin PDF Summary

Book Description: 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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