Next Thursday (Jan. 16), at the RSS, there will be a special half-day meeting (afternoon, starting at 13:30) on Recent Advances in Monte Carlo Methods organised by the General Application Section. The speakers are Richard Everitt, University of Oxford, Missing data, and what to do about it Anthony Lee, Warwick University, Auxiliary ... [Read more...]

The talk of Wednesday afternoon Ordinary Meeting of the Royal Statistical Society went on quite well, I think. I would have expected a few people (in general) and some specific people (in particular) but this being the last week of term the schedule was not the best of times. Paul ... [Read more...]

Here is our discussion (with Nicolas Chopin) of the Read Paper of last Wednesday by T. van Erven, P. Grünwald and S. de Rooij (Centrum voor Wiskunde en Informatica, Amsterdam), entitled Catching up faster by switching sooner: a predictive approach to adaptive estimation with an application to the Akaike ... [Read more...]

Mark Girolami sent me this announcement for six PhD studentships in Statistical Methodology and Its Application at University College London (UCL) that are great opportunities for anyone interested in computational statistics! The studentships are attached to the Department of Statistical Science at University College London, and a subset of them ... [Read more...]

A link on R-bloggers signaled a series of blogs and videos by IBM Netezza about Thomas Bayes and the consequences of his theorem. Which made me realise this was indeed the 250th anniversary of his death, and that maybe we (as a collective, incl. ISBA) should have done something on ... [Read more...]

After the very exciting and I think quite successful ABC in Paris meeting two years ago, Michael Stumpf from Imperial College London suggested a second edition in London along the same lines. Michael kindly associated me with the planning of this meeting. It is (logically) called ABC in London (or ... [Read more...]

Those are the slides for the (basic) introduction of the paper by Mark Girolami and Ben Calderhead at the RSS next week. Not to be confused with my comments on the paper. Filed under: R, Statistics, Travel, University life Tagged: Hamiltonian, Langevi... [Read more...]

Here is a (prompt!) reply from Mark Girolami corresponding to the earlier post: In preparation for the Read Paper session next month at the RSS, our research group at CREST has collectively read the Girolami and Calderhead paper on Riemann manifold Langevin and Hamiltonian Monte Carlo methods and I hope ... [Read more...]

***This tutorial has been updated, please click here*** I frequently use R (a free software environment for statistical computing and graphics) for data analysis.  As almost all my data are spatial it is often good to produce a map of the results without having to export the data into another ... [Read more...]