![ABC in Roma [R lab #2]](http://feeds.wordpress.com/1.0/comments/xianblog.wordpress.com/15060/)
Here are the R codes of the second R lab organised by Serena Arima in supplement of my lectures (now completed!). This morning I covered ABC model choice and the following example is the benchmark used in the course (and in the paper) about the impact of summary statistics. (Warning! It takes a while to 
![ABC in Roma [R lab #1]](http://feeds.wordpress.com/1.0/comments/xianblog.wordpress.com/15032/)
Here are the R codes of the R labs organised by Serena Arima in supplement of my lectures. This is quite impressive and helpful to the students, as illustrated by the first example below (using the abc software). I am having a great time teaching this “ABC in Roma” course, in particular because of the 
Today, I am going to Rome for a week, teaching my PhD course on ABC I first gave in Paris. The course takes place in La Sapienza Università di Roma, from Monday till Thursday. There will be an R lab in addition to the lectures. (I have no further item of information at the moment.) 
Over the weekend, I have added a few slides referring to recent papers mentioning the convergence of ABC algorithms, in particular the very relevant paper by Dean et al. I had already discussed in an earlier post. (This is taking a larger chunk of my time than expected! I am glad I will use the 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
