221 citations · 225 across the 3 of their papers we have counts for
3 papers
Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency
Stevenn Volant, Marie-Laure Martin Magniette, Stéphane Robin
We consider a binary unsupervised classification problem where each observation is associated with an unobserved label that we want to retrieve. More precisely, we assume that ther…
Uncovering latent structure in valued graphs: A variational approach
Mahendra Mariadassou, Stéphane Robin, Corinne Vacher
As more and more network-structured data sets are available, the statistical analysis of valued graphs has become common place. Looking for a latent structure is one of the many st…
A leave-p-out based estimation of the proportion of null hypotheses
Alain Celisse, Stéphane Robin
In the multiple testing context, a challenging problem is the estimation of the proportion of true-null hypotheses. A large number of estimators of this quantity rely on iden…