collaborators

5 papers

math.ST2025

Fixed-Point Estimation of the Drift Parameter in Stochastic Differential Equations Driven by Rough Multiplicative Fractional Noise

Chiara Amorino, Laure Coutin, Nicolas Marie

We investigate the problem of estimating the drift parameter from independent copies of the solution of a stochastic differential equation driven by a multiplicative fractional…

math.PR2025

Quantification of limit theorems for Hawkes processes

Laure Coutin, Benjamin Massat, Anthony Réveillac

In this article, we fill a gap in the literature regarding quantitative functional central limit theorems (qfCLT) for Hawkes processes by providing an upper bound for the convergen…

math.AP2025

Weak uniqueness for the PDE governing the joint law of a diffusion and its running supremum

Laure Coutin, Lorick Huang, Monique Pontier

In a previous work [8], it was shown that the joint law of a diffusion process and the running supremum of its first component is absolutely continuous, and that its density satisf…

math.PR2024

Functional approximation of the marked Hawkes risk process

Laure Coutin, Mahmoud Khabou

The marked Hawkes risk process is a compound point process for which the occurrence and amplitude of past events impact the future. Thanks to its autoregressive properties, it foun…

math.PR2024

Normal approximation of Functionals of Point Processes: Application to Hawkes Processes

Laure Coutin, Benjamin Massat, Anthony Réveillac

In this paper, we derive an explicit upper bound for the Wasserstein distance between a functional of point processes and a Gaussian distribution. Using Stein's method in conjuncti…