JSM 2004 - Toronto

Abstract #301059

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Activity Number: 168
Type: Other
Date/Time: Tuesday, August 10, 2004 : 8:30 AM to 10:20 AM
Sponsor: ASA
Abstract - #301059
Title: Bayesian Statistical Computation
Author(s): Steve Brooks*+
Companies: University of Cambridge
Address: Mathematics Dept., Cambridge, CB2 1TN, United Kingdom
Keywords:
Abstract:

We illustrate the general principles and practical issues of Bayesian computation through a series of examples from our applied work in the social and biological sciences. Modern computational methods allow us to fit increasingly complicated and realistic models to data. We discuss issues of fitting, checking, and expanding models from a Bayesian perspective.

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Revised March 2004