On nonparametric maximum likelihood for a class of stochastic inverse   problems
  We establish the consistency of a nonparametric maximum likelihood estimator for a class of stochastic inverse problems. We proceed by embedding the framework into the general settings of early results of Pfanzagl related to mixtures. 
Djalil Chafai (LSProba, UMR181 INRA/ENVT), Jean-Michel Loubes   (LM-Orsay)