On nonparametric maximum likelihood for a class of stochastic inverse problems
arXiv:math/0411516 · doi:10.1016/j.spl.2005.12.019
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.