arXiv:2201.12797 [math.PR]AbstractReferencesReviewsResources
Wasserstein Convergence Rates for Empirical Measures of Subordinated Processes on Noncompact Manifolds
Published 2022-01-30Version 1
The asymptotic behaviour of empirical measures has been studied extensively. In this paper, we consider empirical measures of given subordinated processes on complete (not necessarily compact) and connected Riemannian manifolds with possibly nonempty boundary. We obtain rates of convergence for empirical measures to the invariant measure of the subordinated process under the Wasserstein distance. The results, established for more general subordinated processes than [arXiv:2107.11568], generalize the recent ones in [Stoch. Proc. Appl. 144(2022), 271--287] and are shown to be sharp by a typical example. The proof is motivated by the aforementioned works.
Comments: Comments welcome!
Categories: math.PR
Related articles: Most relevant | Search more
arXiv:2206.03901 [math.PR] (Published 2022-06-08)
Wasserstein Convergence for Empirical Measures of Subordinated Dirichlet Diffusions on Riemannian Manifolds
arXiv:2107.11568 [math.PR] (Published 2021-07-24)
Wasserstein Convergence for Empirical Measures of Subordinated Diffusions on Riemannian Manifolds
arXiv:1903.07880 [math.PR] (Published 2019-03-19)
Wasserstein convergence rates for coin tossing approximations of continuous Markov processes