activity
20062023
most citedNonlinear SDEs driven by Lévy processes and related PDEs

69 citations · 293 across the 53 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

math.PR2020

Quantization and martingale couplings

Benjamin Jourdain, Gilles Pagès

Quantization provides a very natural way to preserve the convex order when approximating two ordered probability measures by two finitely supported ones. Indeed, when the convex or…

math.PR2020

Approximation rate in Wasserstein distance of probability measures on the real line by deterministic empirical measures

Oumaima Bencheikh, Benjamin Jourdain

We are interested in the approximation in Wasserstein distance with index of a probability measure on the real line with finite moment of order by the empirical me…

math.PR2020

Martingale Wasserstein inequality for probability measures in the convex order

Benjamin Jourdain, William Margheriti

It was shown by the authors that two one-dimensional probability measures in the convex order admit a martingale coupling with respect to which the integral of is…

math.PR2020

Optimal dual quantizers of -concave distributions: uniqueness and Lloyd like algorithm

Benjamin Jourdain, Gilles Pagès

We establish for dual quantization the counterpart of Kieffer's uniqueness result for compactly supported one dimensional probability distributions having a -concave density…

math.PR2020

Convergence in total variation of the Euler-Maruyama scheme applied to diffusion processes with measurable drift coefficient and additive noise

Oumaima Bencheikh, Benjamin Jourdain

We are interested in the Euler-Maruyama discretization of a stochastic differential equation in dimension with constant diffusion coefficient and bounded measurable drift coeff…

math.PR2020★ 1 cited

Strong solutions to a beta-Wishart particle system

Benjamin Jourdain, Ezéchiel Kahn

The purpose of this paper is to study the existence and uniqueness of solutions to a Stochastic Differential Equation (SDE) coming from the eigenvalues of Wishart processes. The co…