Bayesian Core: A Practical Approach to Computational Bayesian Statistics

Bayesian Core: A Practical Approach to Computational Bayesian Statistics by Jean-Michel Marin, Christian Robert.

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 me...

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Bibliographic Details
Main Authors: Marin, Jean-Michel (Author), Robert, Christian (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Series:Springer Texts in Statistics,
Springer eBook Collection.
Subjects:
Probabilities.
Statistics .
Mathematical statistics.
Computer simulation.
Computational intelligence.
Computer mathematics.
Electronic resources (E-books)
Online Access:Click to view e-book
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Call Number: E-Book
Status: Available

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