Abstract
In this paper, we study in the Markovian case the rate of convergence in Wasserstein distance when the solution to a BSDE is approximated by a solution to a BSDE driven by a scaled random walk as introduced in Briand, Delyon and Mémin (Electron. Commun. Probab. 6 (2001) Art. ID 1). This is related to the approximation of solutions to semilinear second order parabolic PDEs by solutions to their associated finite difference schemes and the speed of convergence.
Citation
Philippe Briand. Christel Geiss. Stefan Geiss. Céline Labart. "Donsker-type theorem for BSDEs: Rate of convergence." Bernoulli 27 (2) 899 - 929, May 2021. https://doi.org/10.3150/20-BEJ1259
Information