Paul Rosa

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20222025

most citedEstimating a density near an unknown manifold: a Bayesian nonparametric approach

3 citations · 3 across the 2 of their papers we have counts for

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math.ST2025

$L^{2} -$ posterior contraction rates for Gaussian process and random series priors in Bayesian nonparametric regression models

Paul Rosa

The nonparametric regression model with normal errors has been extensively studied, both from the frequentist and Bayesian viewpoint. A central result in Bayesian nonparametrics is…

L2−posterior contraction rates for Gaussian process and random series priors in Bayesian nonparametric regression models

$L^{2} -$ posterior contraction rates for Gaussian process and random series priors in Bayesian nonparametric regression models