Title:
Bayesian core : a practical approach to computational bayesian statistics
Personal Author:
Series:
Springer texts in statistics
Publication Information:
New York : Springer, 2007
Physical Description:
xiii, 255 p. : ill. ; 25 cm.
ISBN:
9780387389790
Subject Term:
Added Author:
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | 30000010190588 | QA279.5 M37 2007 | Open Access Book | Book | Searching... |
On Order
Summary
Summary
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.
Table of Contents
User's manual |
Normal models |
Regression and variable selection |
Generalised linear models |
Capture-recapture experiments |
Mixture models |
Dynamic models |
Image analysis |