Quantitative arguments as hypermedia

Hey readers, I’m Joseph Dureau, I have been an avid reader of this blog for while now, and I’m very glad Pierre proposed me to share a few things. Until a few months ago, I used to work on Bayesian inference methods for stochastic processes, with applications to epidemiology. Along with fellow colleagues from this

Random Colours (part 3)

Thanks to Pierre, we now have a new playground for saptial stats, see this post. Before that, let’s see if we can see basic stuff without spatial information. Data consist in three 32*32 tables, R, G and B, of numbers between 0 and 255. Certainly, the tables should be considered together as a 32*32 table

Dirichlet process and related priors

My contribution this year to MCB seminar at CREST is about nonparametric Bayes (today at 2 pm, room 14). I shall start with 1) a few words of history, then introduce 2) the Dirichlet Process by several of its numerous defining properties. I will next introduce an extension of the Dirichlet Process, namely 3) the

256 (random ?) colors

This painting by Gerhard Richter is called 256 colors. The painter is fully committed to this kind of work, as you can see here. When visiting the San Francisco Museum of Modern Art (SFMOMA) (I’m getting literate…), the guide asked the following question: Do you think the colors are positioned randomly or not? Not a