On nonparametric maximum likelihood for a class of stochastic inverse problems

Mathematics – Statistics Theory

Scientific paper

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Scientific paper

10.1016/j.spl.2005.12.019

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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