Posterior contraction rates for deconvolution of Dirichlet-Laplace mixtures
classification
🧮 math.ST
stat.TH
keywords
distributioncontractiondensitymixingmixturesposteriorrelativebayesian
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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 $L_q$ metrics.
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