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20122022
most citedOn the Optimal Stopping of a One-dimensional Diffusion

38 citations

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16 papers · 1 filter

math.PR2020★ 2 cited

Wishart processes : mean-field limit, long time behavior, and free probability

Ezechiel Kahn

This paper is devoted to the study of the eigenvalues of the Wishart process which are the analogof the Dyson Brownian Motion for covariance matrices. Such processes were in partic…

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…

math.PR2019★ 1 cited

Regularization lemmas and convergence in total variation

Vlad Bally, Lucia Caramellino, Guillaume Poly

We provide a simple abstract formalism of integration by parts under which we obtain some regularization lemmas. These lemmas apply to any sequence of random variables whic…

math.PR2017★ 3 cited

Sampling of probability measures in the convex order by Wasserstein projection

Aurélien Alfonsi, Jacopo Corbetta, Benjamin Jourdain

In this paper, for and two probability measures on with finite moments of order , we define the respective projections for the -Wasserstein dist…

math.PR2016★ 2 cited

Diffusions under a local strong Hörmander condition. Part I: density estimates

Vlad Bally, Lucia Caramellino, Paolo Pigato

We study lower and upper bounds for the density of a diffusion process in in a small (but not asymptotic) time, say . We assume that the diffusion coefficients…

math.PR2016★ 1 cited

Asymptotics for the normalized error of the Ninomiya-Victoir scheme

Anis Al Gerbi, Benjamin Jourdain, Emmanuelle Clément

In a previous work, we proved strong convergence with order of the Ninomiya-Victoir scheme with time step to the solution of the limiting SDE. In this pa…

math.PR2015★ 2 cited

Coupling Importance Sampling and Multilevel Monte Carlo using Sample Average Approximation

Ahmed Kebaier, Jérôme Lelong

In this work, we propose a smart idea to couple importance sampling and Multilevel Monte Carlo (MLMC). We advocate a per level approach with as many importance sampling parameters…

math.PR2015

Simulation of BSDEs with jumps by Wiener Chaos Expansion

Christel Geiss, Céline Labart

We present an algorithm to solve BSDEs with jumps based on Wiener Chaos Expansion and Picard's iterations. This paper extends the results given in Briand-Labart (2014) to the case…

math.PR2015

Reflected scheme for doubly reflected BSDEs with jumps and RCLL obstacles

Roxana Dumitrescu, Céline Labart

We introduce a discrete time reflected scheme to solve doubly reflected Backward Stochastic Differential Equations with jumps (in short DRBSDEs), driven by a Brownian motion and an…

math.PR2014★ 35 cited

Convergence and regularity of probability laws by using an interpolation method

V. Bally, L. Caramellino

In [18] Fournier and Printems establish a methodology which allows to prove the absolute continuity of the law of the solution of some stochastic equations with Hölder continuous c…

math.PR2014★ 1 cited

Numerical approximation of doubly reflected BSDEs with jumps and RCLL obstacles

Roxana Dumitrescu, Céline Labart

We study a discrete time approximation scheme for the solution of a doubly reflected Backward Stochastic Differential Equation (DBBSDE in short) with jumps, driven by a Brownian mo…

math.PR2013★ 6 cited

On the distance between probability density functions

Vlad Bally, Lucia Caramellino

We give estimates of the distance between the densities of the laws of two functionals and on the Wiener space in terms of the Malliavin-Sobolev norm of We actually…

math.PR2013

On the long time behavior of stochastic vortices systems

Joaquin Fontbona, Benjamin Jourdain

In this paper, we are interested in the long-time behaviour of stochastic systems of n interacting vortices: the position in R2 of each vortex evolves according to a Brownian motio…

math.PR2013★ 15 cited

The small noise limit of order-based diffusion processes

Benjamin Jourdain, Julien Reygner

We introduce order-based diffusion processes as the solutions to multidimensional stochastic differential equations, with drift coefficient depending only on the ordering of the co…

math.PR2013

Reducing the debt : is it optimal to outsource an investment?

Gilles Edouard Espinosa, Caroline Hillairet, Benjamin Jourdain +1

We deal with the problem of outsourcing the debt for a big investment, according two situations: either the firm outsources both the investment (and the associated debt) and the ex…

math.PR2012★ 38 cited

On the Optimal Stopping of a One-dimensional Diffusion

Damien Lamberton, Mihail Zervos

We consider a one-dimensional diffusion which solves a stochastic differential equation with Borel-measurable coefficients in an open interval. We allow for the endpoints to be ina…