International audienceWe are interested in approximating a multidimensional hypoelliptic diffusion process $(X_t)_{t\geq 0}$ killed when it leaves a smooth domain $D$. When a discrete Euler scheme with time step $h$ is used, we prove under a non characteristic boundary condition that the weak error is upper bounded by $C_1\sqrt h$, generalizing the result obtained by the first author in Gobet'00 for the uniformly elliptic case. We also obtain a lower bound with the same rate $\sqrt h$, thus proving that the order of convergence is exactly $\frac 12$. This provides a theoretical explanation of the well-known bias that we can numerically observe in that kind of procedure
AbstractWe provide a rate for the strong convergence of Euler approximations for stochastic differen...
AbstractThe paper studies the rate of convergence of a weak Euler approximation for solutions to pos...
International audienceWe study the weak approximation error of a skew diffusion with bounded measura...
International audienceWe are interested in approximating a multidimensional hypoelliptic diffusion p...
AbstractWe are interested in approximating a multidimensional hypoelliptic diffusion process (Xt)t⩾0...
We build and study a recursive algorithm based on the occupation measure of an Euler scheme with dec...
Let X be a linear diusion taking values in (`; r) and consider the standard Euler scheme to compute ...
45 pagesInternational audienceWe study the weak error associated with the Euler scheme of non degene...
We provide a rate for the strong convergence of Euler approximations for stochastic differential equ...
For a stochastic differential equation driven by a fractional Brownian motion with Hurst parameter H...
International audienceFor a stopped diffusion process in a multidimensional time-dependent domain $D...
We consider the problem of the approximation of the solution of a one-dimensional SDE with non-globa...
We are interested in the time discretization of stochastic differential equations with additive d-di...
In this paper we study the convergence rate of the numerical approximation of the quantiles of the m...
Abstract. This paper concerns error bounds for Euler-Maruyama approximations of killed diffusions. O...
AbstractWe provide a rate for the strong convergence of Euler approximations for stochastic differen...
AbstractThe paper studies the rate of convergence of a weak Euler approximation for solutions to pos...
International audienceWe study the weak approximation error of a skew diffusion with bounded measura...
International audienceWe are interested in approximating a multidimensional hypoelliptic diffusion p...
AbstractWe are interested in approximating a multidimensional hypoelliptic diffusion process (Xt)t⩾0...
We build and study a recursive algorithm based on the occupation measure of an Euler scheme with dec...
Let X be a linear diusion taking values in (`; r) and consider the standard Euler scheme to compute ...
45 pagesInternational audienceWe study the weak error associated with the Euler scheme of non degene...
We provide a rate for the strong convergence of Euler approximations for stochastic differential equ...
For a stochastic differential equation driven by a fractional Brownian motion with Hurst parameter H...
International audienceFor a stopped diffusion process in a multidimensional time-dependent domain $D...
We consider the problem of the approximation of the solution of a one-dimensional SDE with non-globa...
We are interested in the time discretization of stochastic differential equations with additive d-di...
In this paper we study the convergence rate of the numerical approximation of the quantiles of the m...
Abstract. This paper concerns error bounds for Euler-Maruyama approximations of killed diffusions. O...
AbstractWe provide a rate for the strong convergence of Euler approximations for stochastic differen...
AbstractThe paper studies the rate of convergence of a weak Euler approximation for solutions to pos...
International audienceWe study the weak approximation error of a skew diffusion with bounded measura...