Here is a message sent by the organisers of MCMSki III in Utah next early January. When registering, make sure to tick the free registration for Adap’skiii as well! The fourth joint international meeting of the IMS (Institute of Mathematical Statistics) and ISBA (International Society for Bayesian Analysis), nicknamed “... [Read more...]

Today I am travelling from Paris to Banff, via Amsterdam and Calgary, to take part in the Hierarchical Bayesian Methods in Ecology two day workshop organised at BIRS by Devin Goodsman (University of Alberta),  François Teste (University of Alberta), and myself. I am very excited both by the opportunity ... [Read more...]

In the wake of the main machine learning NIPS 2010 meeting in Vancouver, Dec. 6-9 2010, there will be a very interesting workshop organised by Ryan Adams, Mark Girolami, and Iain Murray on Monte Carlo Methods for Bayesian Inference in Modern Day Applications, on Dec. 10. (And in Whistler, not Vancouver!) I wish ... [Read more...]

This is very short notice, but for those in the vicinity and not at the RSS conference, there is a highly interesting workshop taking place in Bristol in ten days (I would certainly have gone, had I not been at the same time in Banff!): We would like to invite ... [Read more...]

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Today and tomorrow, I am attending the annual Italian statistical society meeting. While I appreciate very much the invitation, as well as the opportunity to walk through  Padova and Venezia for a short (and alas rainy!) hour on the way there (leaving home at 8am, walking in Venezia at noon!), ... [Read more...]

Today I received the very good news that our proposal with Jean-Michel Marin to undertake “research in pair” in CIRM, Luminy, a fortnight next summer was accepted! This research centre in Mathematics is a southern and French version of the renowned German centre of Oberwolfach and, while I would have ... [Read more...]

Here are the slides for the Savage-Dickey paradox paper that I gave in San Antonio this morning: (Any suspected coincidence of the first part with earlier talks is for real!) I have tried to spell out as clearly as possible in the second part the issues of version choices that ... [Read more...]

Yesterday, I gave my short (3 hours) introduction to computational Bayesian statistics to a group of 25-30 highly motivated students. I managed to cover “only” the first three chapters, as I included some material on Bayes factor approximation and only barely reached Metropolis-Hastings. Here are the slides, modified from the original ... [Read more...]

At the Edinburgh mixture estimation workshop, Murray Aitkin presented his proposal to compare models via the posterior distribution of the likelihood ratio. As already commented in a post last July, the positive aspect of looking at this quantity rather than at the Bayes factor is that the priors are then ... [Read more...]

Just a reminder that I will teach a very short course on March 17 in San Antonio, Texas, based on our “Introducing Monte Carlo Methods with R” book, in the first day of the meeting  Frontiers of Statistical Decision Making and Bayesian Analysis, in honour of Jim Berger, There still are ... [Read more...]