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

Type

Book

Authors

Marin ( Marin, Jean-Michel )

Robert ( Robert, Christian P. )

ISBN 10

0387389792

ISBN 13

9780387389790

Tags

Intelligence & Semantics, Computer Simulation, Mathematical & Statistical, Electrical & Electronics, Environmental Science, Probability & Statistics, Counting & Numeration, Artificial Intelligence, Statistics, Environmental Studies

Series Name

Springer Texts in Statistics

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. - from Amzon

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