Bayesian Core

A Practical Approach to Computational Bayesian Statistics
Buch | Hardcover
276 Seiten
2007 | 1st ed. 2007. Corr. 2nd printing 2007
Springer-Verlag New York Inc.
978-0-387-38979-0 (ISBN)

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Bayesian Core - Jean-Michel Marin, Christian P. Robert
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This Bayesian modeling book provides the perfect entry for gaining a practical understanding of Bayesian methodology. It focuses on standard statistical models and is backed up by discussed real datasets available from the book website.
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.

User's manual.- Normal models.- Regression and variable selection.- Generalised linear models.- Capture-recapture experiments.- Mixture models.- Dynamic models.- Image analysis.

Erscheint lt. Verlag 4.12.2007
Reihe/Serie Springer Texts in Statistics
Zusatzinfo 80 black & white illustrations, biography
Verlagsort New York, NY
Sprache englisch
Maße 156 x 234 mm
Gewicht 565 g
Themenwelt Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
ISBN-10 0-387-38979-2 / 0387389792
ISBN-13 978-0-387-38979-0 / 9780387389790
Zustand Neuware
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