![Multidimension bridge sampling (CoRe in CiRM [5])](http://www.r-bloggers.com/wp-content/uploads/2010/07/cda_displayimage4.jpg?SGWID=0-0-16-301393-0)
Since Bayes factor approximation is one of my areas of interest, I was intrigued by Xiao-Li Meng’s comments during my poster in Benidorm that I was using the “wrong” bridge sampling estimator when trying to bridge two models of different dimensions, based on the completion (for and missing from the first model) When revising the 
![A quantum leap (CoRe in CiRM [4])](http://www.r-bloggers.com/wp-content/uploads/2010/07/scotlip-e1278943739332.jpg?w=360&h=346)
Today, as I was trying to install SpatialEpi to use the Scotland lip cancer data in the last chapter of Bayesian Core, I realised my version of R, R Version 2.6.1, was hopelessly out of date! As I am also using Hardy Heron, a somehow antiquated version of Ubuntu on my Mac, upgrading R took 
![CoRe in CiRM [3]](http://www.r-bloggers.com/wp-content/uploads/2010/07/cda_displayimage2.jpg?SGWID=0-0-16-301393-0)
Still drudging along preparing the new edition of Bayesian Core. I am almost done with the normal chapter, where I also changed the Monte Carlo section to include specific tools (bridge) for evidence/Bayes factor approximation. Jean-Michel has now moved to the new hierarchical model chapter and analysed longitudinal datasets that will constitute the core of 
![Core in CiRM [2]](http://www.r-bloggers.com/wp-content/uploads/2010/07/cda_displayimage1.jpg?SGWID=0-0-16-301393-0)
We are making slow progress on the normal and regression chapters as we decided to write the package at the same time we revise the chapters… Jean-Michel transformed the variable selection and model choice R codes of the regression chapter into generic functions that will fit within the package. I rewrote the section on testing, 
![Core in CiRM [1]](http://www.r-bloggers.com/wp-content/uploads/2010/07/cda_displayimage.jpg?SGWID=0-0-16-301393-0)
Jean-Michel Marin and myself have thus started our “research in pair” in CIRM, Luminy, for a fortnight. We are working on the second edition of Bayesian Core and, despite working round the clock on the project (except for a one hour run around Mont Puget this morning), we are not going as fast as planned… 
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!), I am rather skeptical of 
Last morn, I had the surprise of receiving the following email: This is to inform you that the following abstract has been submitted to the 3rd International Conference of the ERCIM WG on COMPUTING & STATISTICS (ERCIM’10) Ab#: 114 Title: Goodness of Fit Via Mixtures of Beta distributions Keywords: nonparametric estimation, posterior conditional predictive p-value. 
In connection with the Valencia 9 meeting that started yesterday, and with Hedie‘s talk there, we have posted on arXiv a set of comments on particle learning. The arXiv paper contains several discussions but they mostly focus on the inevitable degeneracy that accompanies particle systems. When Lopes et al. state that is not of interest 
This is the talk I am giving at the workshop on model uncertainty organised by the Centre for Research in Statistical Methodology (CRiSM) at the University of Warwick, on May 30-June 1. Careful readers will notice there is not much difference with my previous talk on the topic, as I only included the Savage-Dickey slides 
Pierre Lecuyer is the new editor of the ACM Transactions on Modeling and Computer Simulation (TOMACS) and he has asked me to become an Area Editor for the new area of simulation in Statistics. I am quite excited by this new Æditor’s hat, since this is a cross-disciplinary journal: The ACM Transactions on Modeling and 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
