In this paper, we prove that the weak error between a stochastic differential equation with nonlinearity in the sense of McKean given by moments and its approximation by the Euler discretization with time-step h of a system of N interacting particles is (N-1+h). We provide numerical experiments confirming this behaviour and showing that it extends to more general mean-field interaction and study the efficiency of the antithetic sampling technique on the same examples
This Ph.D. thesis deals with the numerical solution of two types of stochastic problems. First, we i...
Abstract In this paper we develop a new martingale method to show the convergence of the regularized...
This paper is concerned with numerical approximations for a class of nonlinear stochastic partial di...
14 pagesInternational audienceIn this paper, we prove that the weak error between a stochastic diffe...
47 pagesIn this paper, we analyse the rate of convergence of a system of $N$ interacting particles w...
We provide analytical approximations for the law of the solutions to a certain class of scalar McKea...
We consider a collection of fully coupled weakly interacting diffusion processes moving in a two-sca...
This thesis is dedicated to the theoretical and numerical study of the weak error for time and parti...
We provide analytical approximations for the law of the solutions to a certain class of scalar McKea...
In many applications, a state-space model depends on a parameter which needs to be inferred from dat...
In this paper, we cast the idea of antithetic sampling, widely used in standard Monte Carlo simulati...
The aim of this paper is to introduce several new particle representations for ergodic McKean-Vlasov...
In an earlier paper, we studied the approximation of solutions $V(t)$ to a class of SPDEs by the emp...
This Ph.D. thesis deals with the numerical solution of two types of stochastic problems. First, we i...
Abstract In this paper we develop a new martingale method to show the convergence of the regularized...
This paper is concerned with numerical approximations for a class of nonlinear stochastic partial di...
14 pagesInternational audienceIn this paper, we prove that the weak error between a stochastic diffe...
47 pagesIn this paper, we analyse the rate of convergence of a system of $N$ interacting particles w...
We provide analytical approximations for the law of the solutions to a certain class of scalar McKea...
We consider a collection of fully coupled weakly interacting diffusion processes moving in a two-sca...
This thesis is dedicated to the theoretical and numerical study of the weak error for time and parti...
We provide analytical approximations for the law of the solutions to a certain class of scalar McKea...
In many applications, a state-space model depends on a parameter which needs to be inferred from dat...
In this paper, we cast the idea of antithetic sampling, widely used in standard Monte Carlo simulati...
The aim of this paper is to introduce several new particle representations for ergodic McKean-Vlasov...
In an earlier paper, we studied the approximation of solutions $V(t)$ to a class of SPDEs by the emp...
This Ph.D. thesis deals with the numerical solution of two types of stochastic problems. First, we i...
Abstract In this paper we develop a new martingale method to show the convergence of the regularized...
This paper is concerned with numerical approximations for a class of nonlinear stochastic partial di...