activity
20012026
most citedOn the origin of long-range correlations in texts

120 citations · 670 across the 39 of their papers we have counts for

collaborators

39 papers

math.PR2026

Double-transform Tauberian method for precise large deviations

Giampaolo Cristadoro, Gaia Pozzoli

In many stochastic models, the observables of interest are naturally encoded in double transforms (e.g., Laplace transforms) that couple spatial and temporal variables. Notably, th…

cond-mat.stat-mech2025

First-passage statistics of random walks: a general approach via Riemann-Hilbert problems

Mattia Radice, Giampaolo Cristadoro

We study first-passage statistics for one-dimensional random walks with independent and identically distributed jumps starting from the origin. We focus on the joint distribu…

cond-mat.stat-mech2024★ 8 cited

Optimal conditions for first passage of jump processes with resetting

Mattia Radice, Giampaolo Cristadoro, Samudrajit Thapa

We investigate the first passage time beyond a barrier located at of a random walk with independent and identically distributed jumps, starting from . The walk is s…

math.PR2024

Precise large deviations through a uniform Tauberian theorem

Giampaolo Cristadoro, Gaia Pozzoli

We derive a large deviation principle for families of random variables in the basin of attraction of spectrally positive stable distributions by proving a uniform version of the Ta…

cond-mat.stat-mech2024★ 10 cited

Optimizing Leapover Lengths of Lévy Flights with Resetting

Mattia Radice, Giampaolo Cristadoro

We consider a one-dimensional search process under stochastic resetting conditions. A target is located at and a searcher, starting from the origin, performs a discrete-ti…

math.PR2022★ 4 cited

On a waiting-time result of Kontoyiannis: mixing or decoupling?

Giampaolo Cristadoro, Mirko Degli Esposti, Vojkan Jakšić +1

We introduce conditions of lower decoupling to the study of waiting-time estimations of the cross entropy between two mutually independent stationary stochastic processes. Although…