Journals Higher Education
Important OUP's Response to COVID-19 Learn more



Published: 14 March 2013

700 Pages | 121 b/w line drawings & 21 b/w halftones

9.2 x 6.1 inches

ISBN: 9780199695607

Also Available As:


Also Available In:

Bookseller Code (06)

Bayesian Theory and Applications


Edited by Paul Damien, Petros Dellaportas, Nicholas G. Polson, and David A. Stephens

  • A clear, concise description of all the major ideas in Bayesian statistics, brought together for the first time
  • Includes basic and advanced algorithms aiding anyone who wishes to implement Bayesian models in their own work
  • Application topics have been included to help practitioners in finance, marketing, psychology, engineering, and physics implement new models in a very straightforward manner