AbstractThe paper studies the rate of convergence of the weak Euler approximation for solutions to SDEs driven by Lévy processes, with Hölder-continuous coefficients. It investigates the dependence of the rate on the regularity of coefficients and driving processes. The equation considered has a nondegenerate main part driven by a spherically symmetric stable process
AbstractLet W=(Wi)i∈N be an infinite dimensional Brownian motion and (Xt)t≥0 a continuous adaptedn-d...
AbstractDiscretisation methods to simulate stochastic differential equations belong to the main tool...
26 pagesWe obtain non asymptotic bounds for the Monte Carlo algorithm associated to the Euler discre...
AbstractThe paper studies the rate of convergence of a weak Euler approximation for solutions to pos...
AbstractWe study the weak approximation of a multidimensional diffusion (Xt)0⩽t⩽T killed as it leave...
This paper studies the rate of convergence of the weak Euler approximation for solutions to Lévy-dri...
AbstractWe provide a rate for the strong convergence of Euler approximations for stochastic differen...
Version 2In this paper, we study the rate of convergence of a symmetrized version of the classical E...
AbstractThe paper studies the rate of convergence of the weak Euler approximation for solutions to S...
AbstractThe Euler scheme is a well-known method of approximation of solutions of stochastic differen...
The paper studies the rate of convergence of the weak Euler approximation for solutions to SDEs driv...
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...
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...
AbstractLet W=(Wi)i∈N be an infinite dimensional Brownian motion and (Xt)t≥0 a continuous adaptedn-d...
AbstractDiscretisation methods to simulate stochastic differential equations belong to the main tool...
26 pagesWe obtain non asymptotic bounds for the Monte Carlo algorithm associated to the Euler discre...
AbstractThe paper studies the rate of convergence of a weak Euler approximation for solutions to pos...
AbstractWe study the weak approximation of a multidimensional diffusion (Xt)0⩽t⩽T killed as it leave...
This paper studies the rate of convergence of the weak Euler approximation for solutions to Lévy-dri...
AbstractWe provide a rate for the strong convergence of Euler approximations for stochastic differen...
Version 2In this paper, we study the rate of convergence of a symmetrized version of the classical E...
AbstractThe paper studies the rate of convergence of the weak Euler approximation for solutions to S...
AbstractThe Euler scheme is a well-known method of approximation of solutions of stochastic differen...
The paper studies the rate of convergence of the weak Euler approximation for solutions to SDEs driv...
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...
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...
AbstractLet W=(Wi)i∈N be an infinite dimensional Brownian motion and (Xt)t≥0 a continuous adaptedn-d...
AbstractDiscretisation methods to simulate stochastic differential equations belong to the main tool...
26 pagesWe obtain non asymptotic bounds for the Monte Carlo algorithm associated to the Euler discre...