Bayesian Computation with R

by Jim Albert

There has been dramatic growth in the development and application of Bayesian inference in statistics. Berger (2000) documents the increase in Bayesian activity by the number of published research articles, the number of books, andtheextensivenumberofapplicationsofBayesianarticlesinapplied disciplines such as science and engineering. One reason for the dramatic growth in Bayesian modeling is the availab- ity of computational algorithms to compute...

• Format: Paperback
• Language: English
• ISBN: 0387922970
• ISBN13: 9780387922973
• Release Date: May 2009
• Publisher: Springer
• Length: 300 Pages
• Weight: 1.10 lbs.
• Dimensions: 0.6" x 6.2" x 9.1"