Thanks to a link on R-bloggers, I was introduced to Luis Apiolaza’s blog, Quantum Forest, which covers data analyses and R comments he encounters in his research as a quantitative forester/geneticist. And he works at the University of Canterbury, Christchurch, where I first taught from Bayesian Core in 2006. Which may be why he chose 
An announcement for two short-courses on Introduction to Bayesian Analysis and MCMC, and Hierarchical Modelling of Spatial and Temporal Data by Alan Gelfand (Duke University, USA) and Sujit Sahu (University of Southampton, UK), are to take place in Southampton on June 7-10, this year. Course 1: Introduction to Bayesian Analysis and MCMC. Date: June 7, 
![Particle learning [rejoinder]](http://www.r-bloggers.com/wp-content/uploads/2010/11/bpl1c5no-n10000.jpg?w=360&h=360)
Following the posting on arXiv of the Statistical Science paper of Carvalho et al., and the publication by the same authors in Bayesian Analysis of Particle Learning for general mixtures I noticed on Hedibert Lopes’ website his rejoinder to the discussion of his Valencia 9 paper has been posted. Since the discussion involved several points 
![Savage-Dickey [talk]](http://feeds.wordpress.com/1.0/comments/xianblog.wordpress.com/4734/)
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 are at the core of 
I received this announcement about two incoming courses given in København by Andrew Lawson:
1) “*An Introduction to Bayesian Disease Mapping*”
A Two-Day Course, April 12.- 13. 2010, University of Southern Denmark
This course is designed to provide an introduction to the area of Bayesian disease mapping in applications to Public Health and Epidemiology:
2) “*Advanced Bayesian Disease Mapping*”
A 
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 a 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
