Bayesian Theory and Applications
$113.12
- Paperback
718 pages
- Release Date
26 February 2015
Summary
The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics. This volume guides the reader along a statistical journey that begins with the basic structure of Bayesian theory, and then provides details on most of the past and present advances inthis field. The book has a unique format. …
Book Details
| ISBN-13: | 9780198739074 |
|---|---|
| ISBN-10: | 0198739079 |
| Author: | Paul Damien, Petros Dellaportas, Nicholas G. Polson, David A. Stephens |
| Publisher: | Oxford University Press |
| Imprint: | Oxford University Press |
| Format: | Paperback |
| Number of Pages: | 718 |
| Release Date: | 26 February 2015 |
| Weight: | 1.04kg |
| Dimensions: | 233mm x 156mm x 37mm |
About The Author
Paul Damien
Paul Damien is a Professor at the McCombs School of Business, University of Texas in Austin.Petros Dellaportas is a Professor at the Athens University of Economics and Business.Nicholas G Polson is Professor of Econometrics and Statistics at Chicago Booth, University of Chicago.David M Stephens is a Professor in the Department of Mathematics and Statistics at McGill University, Canada.
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