In recent weeks, we've explored methods to fit logistic regression models when a state of quasi-complete separation exists. We considered Firth's penalized likelihood approach, exact logistic regression, and Bayesian models using Markov chain Monte Ca...
Given the growing interest in parallel processing through GPUs or multiple processors, there is a clear need for a proper use of (uniform) random number generators in this environment. We were discussing the issue yesterday with Jean-Michel Marin and briefly looked at a few solutions: given p parallel streams/threads/processors, starting each generator with a random 
![StatProb [wiki]](http://www.r-bloggers.com/wp-content/uploads/2010/07/royalstat.png)
Via the support of Springer, probability and statistics societies are launching a specialised wiki called StatProb. It operates as a wiki in that authors can submit short articles on any topic, with further co-authors joining in later to improve those articles, but with the contents guaranteed via the filter of an editorial 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
