5 papers
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…
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…
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…
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…
Bayesian GARCH Modeling of Functional Sports Data
Patric Dolmeta, Raffaele Argiento, Silvia Montagna
The use of statistical methods in sport analytics has gained a rapidly growing interest over the last decade, and nowadays is common practice. In particular, the interest in unders…