activity
20062023
most citedProbabilistic study of the speed of approach to equilibrium for an inelastic Kac model

26 citations · 104 across the 21 of their papers we have counts for

collaborators

24 papers

stat.ME2023

A Spatiotemporal Gamma Shot Noise Cox Process

Federico Bassetti, Roberto Casarin, Matteo Iacopini +1

A new discrete-time shot noise Cox process for spatiotemporal data is proposed. The random intensity is driven by a dependent sequence of latent gamma random measures. Some propert…

stat.ME2022

First-order integer-valued autoregressive processes with Generalized Katz innovations

Ovielt Baltodano Lopez, Federico Bassetti, Giulia Carallo +1

A new integer--valued autoregressive process (INAR) with Generalised Lagrangian Katz (GLK) innovations is defined. This process family provides a flexible modelling framework for c…

physics.ed-ph2021

Remote teaching data-driven physical modeling through a COVID-19 open ended data challenge

Marco Cosentino Lagomarsino, Guglielmo Pacifico, Valerio Firmano +7

Physics can be seen as a conceptual approach to scientific problems, a method for discovery, but teaching this aspect of our discipline can be a challenge. We report on a first-tim…

math.PR2019

Clustering structure for species sampling sequences with general base measure

Federico Bassetti, Lucia Ladelli

We investigate the clustering structure of species sampling sequences , with general base measure. Such sequences are exchangeable with a species sampling random probabili…

math.OC2018★ 5 cited

Computing Kantorovich-Wasserstein Distances on -dimensional histograms using -partite graphs

Gennaro Auricchio, Federico Bassetti, Stefano Gualandi +1

This paper presents a novel method to compute the exact Kantorovich-Wasserstein distance between a pair of -dimensional histograms having bins each. We prove that this probl…

math.OC2018★ 10 cited

On the Computation of Kantorovich-Wasserstein Distances between 2D-Histograms by Uncapacitated Minimum Cost Flows

Federico Bassetti, Stefano Gualandi, Marco Veneroni

In this work, we present a method to compute the Kantorovich-Wasserstein distance of order one between a pair of two-dimensional histograms. Recent works in Computer Vision and Mac…