JSM 2009

When looking at the programme of the Joint Statistical Meeting next week, I realised I had given “Computational Methods for Bayesian Model Choice” as the title of my talk in the Advanced Monte Carlo session:

Wednesday August 5, 2009 - Session 495 - Room CC-143A
Advanced Monte Carlo Methods—Invited
Section on Statistical Computing, Section on Bayesian Statistical Science, Interface Foundation of North America
Organizer(s): Yuguo Chen, University of Illinois at Urbana-Champaign
Chair(s): Yuguo Chen, University of Illinois at Urbana-Champaign
2:05 p.m. Computational Methods for Bayesian Model Choice—Christian P. Robert, Université Paris Dauphine; Jean-Michel Marin, University Montpellier II
2:35 p.m. Auxiliary Variable MCMC with Applications in Protein Structure Modeling—Jun S. Liu, Harvard University; Kou X. Sam, Harvard University
3:05 p.m. Approximate Bayesian Computation: What, Why, and When?—Simon Tavaré, University of Southern California
3:35 p.m. Floor Discussion

So I guess I will condense the talk I gave at MaxEnt 2009, including the latest remarks about the harmonic mean estimator and also presenting our ABC model choice approach to make a link with Simon Tavaré’s talk. I will also chair a SAMSI session on population Monte Carlo and SMC organised by Julien Cornebise, where Jean-Michel Marin will talk of our AMIS paper and Darren Wraith of the PMC for cosmologists paper.