
arXiv: 1609.07942
We prove a Donsker and a Glivenko--Cantelli theorem for sequences of random discrete measures generalizing empirical measures. Those two results hold under standard conditions upon bracketing numbers of the indexing class of functions. As a byproduct, we derive a posterior consistency and a Bernstein--von Mises theorem for the Dirichlet process prior, under the topology of total variation, when the observation space is countable. We also obtain new information about the Durst--Dudley--Borisov theorem
empirical measures, Donsker theorem, Functional limit theorems; invariance principles, random discrete measures, FOS: Mathematics, Mathematics - Statistics Theory, Bayesian nonparametric statistics, Statistics Theory (math.ST), Random measures
empirical measures, Donsker theorem, Functional limit theorems; invariance principles, random discrete measures, FOS: Mathematics, Mathematics - Statistics Theory, Bayesian nonparametric statistics, Statistics Theory (math.ST), Random measures
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