3 papers
math.ST2025
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.…
stat.ME2025
A nonparametric Bayesian analysis of independent and identically distributed observations of covariate-driven Poisson processes
Patric Dolmeta, Matteo Giordano
An important task in the statistical analysis of inhomogeneous point processes is to investigate the influence of a set of covariates on the point-generating mechanism. In this art…
math.ST2025
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…