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19952026
most citedInverse Problem for a Curved Quantum Guide

1k citations

Showing 2021 · math.PRShow all

18 papers · 2 filters

math.PR2021★ 1 cited

Malliavin-Stein method for the multivariate compound Hawkes process

Mahmoud Khabou

In this paper, we provide upper bounds on the d2 distance between a large class of functionals of a multivariate compound Hawkes process and a given Gaussian vector. This is proven…

math.PR2021★ 8 cited

Limit theorems for Hawkes processes including inhibition

Patrick Cattiaux, Laetitia Colombani, Manon Costa

In this paper we consider some non linear Hawkes processes with signed reproduction function (or memory kernel) thus exhibiting both self-excitation and inhibition. We provide a La…

math.PR2021

Asymptotic deviation bounds for cumulative processes

Patrick Cattiaux, Laetitia Colombani, Manon Costa

The aim of this paper is to get asymptotic deviation bounds via a Large Deviation Principle (LDP) for cumulative processes also known as compound renewal processes or renewal-rewar…

math.PR2021★ 1 cited

Fluctuations of the Stieltjes transform of the empirical spectral distribution of selfadjoint polynomials in Wigner and deterministic diagonal matrices

Serban Belinschi, Mireille Capitaine, Sandrine Dallaporta +1

We investigate the fluctuations around the mean of the Stieltjes transform of the empirical spectral distribution of any selfadjoint noncommutative polynomial in a Wigner matrix an…

math.PR2021★ 4 cited

Diffusive limits of Lipschitz functionals of Poisson measures

Eustache Besançon, Laure Coutin, Laurent Decreusefond +1

Continuous Time Markov Chains, Hawkes processes and many other interesting processes can be described as solution of stochastic differential equations driven by Poisson measures. P…

math.PR2021★ 2 cited

Efficient approximation of branching random walk Gibbs measures

Fu-Hsuan Ho, Pascal Maillard

Disordered systems such as spin glasses have been used extensively as models for high-dimensional random landscapes and studied from the perspective of optimization algorithms. In…