Some aspects of symmetric Gamma process mixtures

Abstract

In this article, we present some specific aspects of symmetric Gamma process mixtures for use in regression models. We propose a new Gibbs sampler for simulating the posterior and we establish adaptive posterior rates of convergence related to the Gaussian mean regression problem.

Publication
arXiv preprint arXiv:1504.00476
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