Stability estimates for invariant measures of diffusion processes, with applications to stability of moment measures and Stein kernels
Probability
2020-10-28 v1 Analysis of PDEs
Functional Analysis
Abstract
We investigate stability of invariant measures of diffusion processes with respect to distances on the coefficients, under an assumption of log-concavity. The method is a variant of a technique introduced by Crippa and De Lellis to study transport equations. As an application, we prove a partial extension of an inequality of Ledoux, Nourdin and Peccati relating transport distances and Stein discrepancies to a non-Gaussian setting via the moment map construction of Stein kernels.
Keywords
Cite
@article{arxiv.2010.14178,
title = {Stability estimates for invariant measures of diffusion processes, with applications to stability of moment measures and Stein kernels},
author = {Max Fathi and Dan Mikulincer},
journal= {arXiv preprint arXiv:2010.14178},
year = {2020}
}
Comments
29 pages, comments are welcome