[UCLAStat] Seminar: May 27, Bayesian Analysis of Reversible Markov Chains

[World Wide Web Server]

UCLA Statistics Speaker Series

Time: 3 - 4 pm, Tuesday, May 27, 2003 

Place: 6627 Math Sciences Bldg.

Speaker: Persi Diaconis, Department of Statistics, Stanford University

Subject: Bayesian Analysis of Reversible Markov Chains

Abstract:
In joint work with Silke Rolles, Bayesian methods have been
developed for analyzingMarkov Chain data when the chain is
reversible.  This includes closed form conjugate priors, a
version of De Finetti\'s Theorem and characterization theorems. 
Examples are given.