Posterior contraction rates for deconvolution of Dirichlet-Laplace mixtures

preprint2016arXivOpen access

Abstract

We study nonparametric Bayesian inference with location mixtures of the Laplace density and a Dirichlet process prior on the mixing distribution. We derive a contraction rate of the corresponding posterior distribution, both for the mixing distribution relative to the Wasserstein metric and for the mixed density relative to the Hellinger and LqL_q metrics.

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