Section: New Results

Generative models and random graphs

Participant : Alain Célisse.

The aim is to study consistency of variational and maximum likelihood estimates built from a particular generative model of random graph where independence between the ridges of the graph is not assumed. These results are established from concentration inequalities. They have a great practical interest since they justify a posteriori intensive use of variational methods in this context.

It is a joint collaboration with Jean-Jacques Daudin and a paper is submitted [35] .