activity
20192026
most citedOn the weak convergence rate of an exponential Euler scheme for SDEs governed by coefficients with superlinear growth

17 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

math.ST2026

Expectation-Maximization algorithm to estimate the forcing parameter of a nonlinear McKean-Vlasov diffusion

Eduardo Gutierrez-Turner, Kerlyns Martinez, Hector Olivero

In this article, we address the problem of estimating a forcing parameter in a stochastic differential equation inspired by a model that describes instantaneous turbulent kinetic e…

math.PR2026

Error analysis for learning fractional stochastic differential equations with applications in neural approximations

Mahdi Dehshiri, Kerlyns Martinez, Lauri Viitasaari

This paper develops a framework for the error analysis in nonparametric model fitting of fractional stochastic differential equations based on discrete observations. We identify an…

math.PR2025

Age-structured stochastic populations under dynamic harvesters' behavior: well-posedness, asymptotic stability and numerically-amenable approximations

M. Isidora Ávila-Thieme, Kerlyns Martínez, Héctor Olivero +2

In this paper we study a model of age-structured ecological populations in continuous interaction with a community of harvesters. We propose an individual-based model for this feed…

math.PR2025

Weak rough kernel comparison via PPDEs for integrated Volterra processes

Mireille Bossy, Kerlyns Martinez, Paul Maurer

Motivated by applications in physics (e.g., turbulence intermittency) and financial mathematics (e.g., rough volatility), this paper examines a family of integrated stochastic Volt…

math.PR2019★ 17 cited

On the weak convergence rate of an exponential Euler scheme for SDEs governed by coefficients with superlinear growth

Mireille Bossy, Jean Francois Jabir, Kerlyns Martinez

We consider the problem of the approximation of the solution of a one-dimensional SDE with non-globally Lipschitz drift and diffusion coefficients behaving as , with . We…