On nonparametric maximum likelihood for a class of stochastic inverse problems
Djalil Chafai, Jean-Michel Loubes
Abstract
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.
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