Version 2In this paper, we study the rate of convergence of a symmetrized version of the classical Euler scheme, applied to the discretisation of the solution of a stochastic differential equation with a diffusion coefficient function of the form |x|^a, a in [1/2,1). For smooth test functions, we show that the weak error is of order one as for the classical Euler scheme. More over, the symmetrized version is very easy to simulate on a computer
26 pagesWe obtain non asymptotic bounds for the Monte Carlo algorithm associated to the Euler discre...
We consider one-dimensional stochastic differential equations in the particular case of diffusion c...
International audienceIn the present paper, we prove that the Wasserstein distance on the space of c...
AbstractThe paper studies the rate of convergence of the weak Euler approximation for solutions to S...
AbstractThe paper studies the rate of convergence of a weak Euler approximation for solutions to pos...
AbstractWe provide a rate for the strong convergence of Euler approximations for stochastic differen...
AbstractWe study the weak approximation of a multidimensional diffusion (Xt)0⩽t⩽T killed as it leave...
The development of technology and computer science in the last decades, has led the emergence of num...
The development of technology and computer science in the last decades, has led the emergence of num...
For a stochastic differential equation(SDE) driven by a fractional Brownian motion(fBm) with Hurst p...
For a stochastic differential equation(SDE) driven by a fractional Brownian motion(fBm) with Hurst p...
26 pagesInternational audienceGiven a smooth R^d-valued diffusion, we study how fast the Euler schem...
26 pagesInternational audienceGiven a smooth R^d-valued diffusion, we study how fast the Euler schem...
We consider a generic and explicit tamed Euler--Maruyama scheme for multidimensional time-inhomogene...
We are interested in the time discretization of stochastic differential equations with additive d-di...
26 pagesWe obtain non asymptotic bounds for the Monte Carlo algorithm associated to the Euler discre...
We consider one-dimensional stochastic differential equations in the particular case of diffusion c...
International audienceIn the present paper, we prove that the Wasserstein distance on the space of c...
AbstractThe paper studies the rate of convergence of the weak Euler approximation for solutions to S...
AbstractThe paper studies the rate of convergence of a weak Euler approximation for solutions to pos...
AbstractWe provide a rate for the strong convergence of Euler approximations for stochastic differen...
AbstractWe study the weak approximation of a multidimensional diffusion (Xt)0⩽t⩽T killed as it leave...
The development of technology and computer science in the last decades, has led the emergence of num...
The development of technology and computer science in the last decades, has led the emergence of num...
For a stochastic differential equation(SDE) driven by a fractional Brownian motion(fBm) with Hurst p...
For a stochastic differential equation(SDE) driven by a fractional Brownian motion(fBm) with Hurst p...
26 pagesInternational audienceGiven a smooth R^d-valued diffusion, we study how fast the Euler schem...
26 pagesInternational audienceGiven a smooth R^d-valued diffusion, we study how fast the Euler schem...
We consider a generic and explicit tamed Euler--Maruyama scheme for multidimensional time-inhomogene...
We are interested in the time discretization of stochastic differential equations with additive d-di...
26 pagesWe obtain non asymptotic bounds for the Monte Carlo algorithm associated to the Euler discre...
We consider one-dimensional stochastic differential equations in the particular case of diffusion c...
International audienceIn the present paper, we prove that the Wasserstein distance on the space of c...