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Matteo Giordano

5 papers hereh-index 211 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • math.ST4
  • stat.ME1
same name
  • Matteo Giordano — 11 papers
  • Matteo Giordano — 8 papers, h 3
  • Matteo Giordano — 1 paper, h 2
  • Matteo Giordano — 1 paper, h 1
  • Matteo Giordano — 1 paper, h 2
  • Matteo Giordano — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing math.STShow all

4 papers · 1 filter

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

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.…

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…

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