Archive for Zeeman building

my week at War[wick]

Posted in pictures, Running, Statistics, Travel, Uncategorized with tags , , , , , , , , , on February 1, 2014 by xi'an

This was a most busy and profitable week in Warwick as, in addition to meeting with local researchers and students on a wide range of questions and projects, giving an extended seminar to MASDOC students, attending as many seminars as humanly possible (!), and preparing a 5k race by running in the Warwickshire countryside (in the dark and in the rain), I received the visits of Kerrie Mengersen, Judith Rousseau and Jean-Michel Marin, with whom I made some progress on papers we are writing together. In particular, Jean-Michel and I wrote the skeleton of a paper we (still) plan to submit to COLT 2014 next week. And Judith, Kerrie and I drafted new if paradoxical aconnections between empirical likelihood and model selection. Jean-Michel and Judith also gave talks at the CRiSM seminar, Jean-Michel presenting the latest developments on the convergence of our AMIS algorithm, Judith summarising several papers on the analysis of empirical Bayes methods in non-parametric settings.

Snapshots from CRiSM workshop

Posted in Statistics, University life with tags , , , , , , , , on May 31, 2010 by xi'an

The workshop is a mix of theory, methodology, computational techniques and applications that makes it quite exciting. Although I already gave several versions of my talk in the past year, I still got interesting feedback, in particular a connection between our Savage-Dickey representation and bridge sampling. Among the interesting talks I attended, a few snapshots; both Jim Berger and Dongchu Sun presented new closed form expressions for effective numbers of parameters in complex linear models, Antonio Lijoi covered some mathematics of species estimation models [with some possible connections with Geoff Nicholls’  earlier talk on language classification], Chris Holmes exposed the advances he had made since Edinburgh (at least for those of us who attended both meetings), highlighting an interesting link with LDA, both Chris and Matthew Stephens considering direction selection for discrimination and clustering, Peter Müller talked about the analysis of a genetic pathway model represented as a graph, Robert Kohn zoomed through an adaptive particle MCMC algorithm where the likelihood was estimated (with the interesting side comment that what looks as an unbiased estimator from one perspective is also an auxiliary joint likelihood from another perspective) and David Spiegelhalter gave a both hilarious and thought-provoking talk on the “deeper uncertainty” that surrounds statistical models.