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math.ST2026
Increasing domain asymptotics for covariate-based nonparametric Bayesian intensity estimation with Gaussian and Besov-Laplace priors
Patric Dolmeta, Matteo Giordano
We study the problem of estimating the intensity function of a covariate-driven point process based on observations of the points and covariates over a large window. We consider th…
math.ST2025
Hierarchical Besov-Laplace priors for spatially inhomogeneous binary classification
Patric Dolmeta, Matteo Giordano
We study nonparametric Bayesian binary classification, in the case where the unknown probability response function is possibly spatially inhomogeneous, for example, being generally…
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…