Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics)

Jean-Michel Marin

ISBN 10: 0387389792 / ISBN 13: 9780387389790

Published by Springer, 2007

About this Item

Seller Inventory # SHUB86292

Bibliographic Details

• Title: Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics)
• Publisher: Springer
• Publication Date: 2007
• Language: English
• ISBN 10: 0387389792
• ISBN 13: 9780387389790
• Binding: Soft cover
• Condition: New

About this title

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.

About the Author

Robert, CREST-INSEE, Paris, France.