4 papers
Bayesian inference with Besov-Laplace priors for spatially inhomogeneous binary classification surfaces
Matteo Giordano
In this article, we study the binary classification problem with supervised data, in the case where the covariate-to-probability-of-success map is possibly spatially inhomogeneous.…
Bayesian Inference for Initial Heat States with Gaussian Series Priors
Matteo Giordano
We consider the statistical linear inverse problem of recovering the unknown initial heat state from noisy interior measurements over an inhomogeneous domain of the solution to the…
Gaussian Process Methods for Covariate-Based Intensity Estimation
Patric Dolmeta, Matteo Giordano
We study nonparametric Bayesian inference for the intensity function of a covariate-driven point process. We extend recent results from the literature, showing that a wide class of…
On strong posterior contraction rates for Besov-Laplace priors in the white noise model
Emanuele Dolera, Stefano Favaro, Matteo Giordano
In this article, we investigate the problem of estimating a spatially inhomogeneous function and its derivatives in the white noise model using Besov-Laplace priors. We show that s…