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We consider nonparametric estimation of a mixed discrete-continuous distribution under anisotropic smoothness … derive lower bounds on the estimation rates in the total variation distance. Next, we consider a nonparametric mixture of … normals models can be used for optimal adaptive estimation of mixed discretecontinuous distributions. …
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The definition of vectors of dependent random probability measures is a topic of interest in applications to Bayesian statistics. They, indeed, represent dependent nonparametric prior distributions that are useful for modelling observables for which specific covariate values are known. In this...
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