14 pagesInternational audienceIn 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 O(1/N + 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
We provide analytical approximations for the law of the solutions to a certain class of scalar McKea...
In an earlier paper, we studied the approximation of solutions $V(t)$ to a class of SPDEs by the emp...
International audienceIn the nonlinear diffusion framework, stochastic processes of McKean-Vlasov ty...
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...
This thesis is dedicated to the theoretical and numerical study of the weak error for time and parti...
We consider a collection of fully coupled weakly interacting diffusion processes moving in a two-sca...
In many applications, a state-space model depends on a parameter which needs to be inferred from dat...
We provide analytical approximations for the law of the solutions to a certain class of scalar McKea...
We present a mean field particle theory for the numerical approximation of Feynman-Kac path integral...
In this paper, we cast the idea of antithetic sampling, widely used in standard Monte Carlo simulati...
We present a mean field particle theory for the numerical approximation of Feynman-Kac path integral...
Abstract In this paper we develop a new martingale method to show the convergence of the regularized...
The aim of this paper is to introduce several new particle representations for ergodic McKean-Vlasov...
We provide analytical approximations for the law of the solutions to a certain class of scalar McKea...
In an earlier paper, we studied the approximation of solutions $V(t)$ to a class of SPDEs by the emp...
International audienceIn the nonlinear diffusion framework, stochastic processes of McKean-Vlasov ty...
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...
This thesis is dedicated to the theoretical and numerical study of the weak error for time and parti...
We consider a collection of fully coupled weakly interacting diffusion processes moving in a two-sca...
In many applications, a state-space model depends on a parameter which needs to be inferred from dat...
We provide analytical approximations for the law of the solutions to a certain class of scalar McKea...
We present a mean field particle theory for the numerical approximation of Feynman-Kac path integral...
In this paper, we cast the idea of antithetic sampling, widely used in standard Monte Carlo simulati...
We present a mean field particle theory for the numerical approximation of Feynman-Kac path integral...
Abstract In this paper we develop a new martingale method to show the convergence of the regularized...
The aim of this paper is to introduce several new particle representations for ergodic McKean-Vlasov...
We provide analytical approximations for the law of the solutions to a certain class of scalar McKea...
In an earlier paper, we studied the approximation of solutions $V(t)$ to a class of SPDEs by the emp...
International audienceIn the nonlinear diffusion framework, stochastic processes of McKean-Vlasov ty...