activity
20042021
most citedLarge deviations and a Kramers' type law for self-stabilizing diffusions

67 citations · 163 across the 20 of their papers we have counts for

collaborators

20 papers

math.PR2021

Exact simulation of the first passage time through a given level for jump diffusions

Samuel Herrmann, Nicolas Massin

Continuous-time stochastic processes play an important role in the description of random phenomena, it is therefore of prime interest to study particular variables depending on the…

math.PR2021

Strong approximation of Bessel processes

Madalina Deaconu, Samuel Herrmann

We consider the path approximation of Bessel processes and develop a new and efficient algorithm. This study is based on a recent work by the authors, on the path approximation of…

math.PR2020

Strong approximation of particular one-dimensional diffusions

Madalina Deaconu, Samuel Herrmann

This paper develops a new technique for the path approximation of one-dimensional stochastic processes, more precisely the Brownian motion and families of stochastic differential e…

math.PR2020★ 1 cited

Exact simulation of diffusion first exit times: algorithm acceleration

Samuel Herrmann, Cristina Zucca

In order to describe or estimate different quantities related to a specific random variable, it is of prime interest to numerically generate such a variate. In specific situations,…

math.PR2019★ 2 cited

Approximation of exit times for one-dimensional linear and growth diffusion processes

Samuel Herrmann, Nicolas Massin

In order to approximate the exit time of a one-dimensional diffusion process, we propose an algorithm based on a random walk. Such an algorithm was already introduced in both the B…

math.PR2019

Exit problem for Ornstein-Uhlenbeck processes: a random walk approach

Samuel Herrmann, Nicolas Massin

In order to approximate the exit time of a one-dimensional diffusion process, we propose an algorithm based on a random walk. Such an algorithm so-called Walk on Moving Spheres was…