Stability estimates for invariant measures of diffusion processes, with applications to stability of moment measures and Stein kernels

Abstract

We investigate stability of invariant measures of diffusion processes with respect to $L^p$ 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.

arXiv comment29 pages, comments are welcome

References in corpus (6)

• A short survey of Stein's method
• Stein operators, kernels and discrepancies for multivariate continuous distributions
• Eigenvalue distribution of optimal transportation
• Moment measures and stability for Gaussian inequalities
• Quantitative stability estimates for Fokker-Planck equations
• q-Moment Measures and Applications: A New Approach via Optimal Transport