activity
20152025
most citedOn the Itô-Alekseev-Gröbner formula for stochastic differential equations

5 citations · 19 across the 13 of their papers we have counts for

collaborators

14 papers

math.ST2025

Parameters estimation of a Threshold Chan-Karolyi-Longstaff-Sanders process from continuous and discrete observations

Sara Mazzonetto, Benoît Nieto

We consider a continuous time process that is self-exciting and ergodic, called threshold Chan-Karolyi-Longstaff-Sanders (CKLS) process. This process is a generalization of various…

math.ST2024

Estimation of parameters and local times in a discretely observed threshold diffusion model

Sara Mazzonetto, Paolo Pigato

We consider a simple mean reverting diffusion process, with piecewise constant drift and diffusion coefficients, discontinuous at a fixed threshold. We discuss estimation of drift…

math.ST2023

Maximum likelihood estimator for skew Brownian motion: the convergence rate

Antoine Lejay, Sara Mazzonetto

We give a thorough description of the asymptotic property of the maximum likelihood estimator (MLE) of the skewness parameter of a Skew Brownian Motion (SBM). Thanks to recent resu…

math.ST2022

Beyond the delta method

Antoine Lejay, Sara Mazzonetto

We give an asymptotic development of the maximum likelihood estimator (MLE), or any other estimator defined implicitly, in a way which involves the limiting behavior of the score a…

math.PR2020★ 1 cited

Drift estimation of the threshold Ornstein-Uhlenbeck process from continuous and discrete observations

Sara Mazzonetto, Paolo Pigato

We refer by threshold Ornstein-Uhlenbeck to a continuous-time threshold autoregressive process. It follows the Ornstein-Uhlenbeck dynamics when above or below a fixed level, yet at…

math.PR2019★ 3 cited

Rates of convergence to the local time of Oscillating and Skew Brownian Motions

Sara Mazzonetto

In this paper, a class of statistics based on high frequency observations of oscillating and skew Brownian motion is considered. Their convergence rate towards the local time of th…

math.PR2019★ 1 cited

On moments and strong local Hölder regularity of solutions of stochastic differential equations and of their spatial derivative processes

Anselm Hudde, Martin Hutzenthaler, Sara Mazzonetto

Spatial differentiability of solutions of stochastic differential equations (SDEs) is a classical question in stochastic analysis. The case of coefficients with globally Lipschitz…

math.PR2019★ 5 cited

A stochastic Gronwall inequality and applications to moments, strong completeness, strong local Lipschitz continuity, and perturbations

Anselm Hudde, Martin Hutzenthaler, Sara Mazzonetto

There are numerous applications of the classical (deterministic) Gronwall inequality. Recently, Michael Scheutzow discovered a stochastic Gronwall inequality which provides upper b…

math.PR2019★ 1 cited

Existence, uniqueness, and numerical approximations for stochastic Burgers equations

Sara Mazzonetto, Diyora Salimova

In this paper we propose an all-in-one statement which includes existence, uniqueness, regularity, and numerical approximations of mild solutions for a class of stochastic partial…

math.CA2018★ 1 cited

Existence and uniqueness properties for solutions of a class of Banach space valued evolution equations

Arnulf Jentzen, Sara Mazzonetto, Diyora Salimova

In this note we provide a self-contained proof of an existence and uniqueness result for a class of Banach space valued evolution equations with an additive forcing term. The frame…

math.PR2018★ 5 cited

On the Itô-Alekseev-Gröbner formula for stochastic differential equations

Anselm Hudde, Martin Hutzenthaler, Arnulf Jentzen +1

In this article we establish a new formula for the difference of a test function of the solution of a stochastic differential equation and of the test function of an Itô process. T…

math.PR2018★ 2 cited

Strong convergence for explicit space-time discrete numerical approximation for 2D stochastic Navier-Stokes equations

Sara Mazzonetto

In this paper we show the strong convergence of a fully explicit space-time discrete approximation scheme for the solution process of the two-dimensional incompressible stochastic…

math.PR2016

Exact simulation of Brownian diffusions with drift admitting jumps

David Dereudre, Sara Mazzonetto, Sylvie Roelly

In this paper, using an algorithm based on the retrospective rejection sampling scheme, we propose an exact simulation of a Brownian diffusion whose drift admits several jumps. We…

math.PR2015

An explicit representation of the transition densities of the skew Brownian motion with drift and two semipermeable barriers

David Dereudre, Sara Mazzonetto, Sylvie Roelly

In this paper, we obtain an explicit representation of the transition density of the one-dimensional skew Brownian motion with (a constant drift and) two semipermeable barriers. Mo…