Huiling Le
A diffusion approach to Stein's method on Riemannian manifolds
Le, Huiling; Lewis, Alexander; Bharath, Karthik; Fallaize, Christopher
Authors
Alexander Lewis
Professor KARTHIK BHARATH KARTHIK.BHARATH@NOTTINGHAM.AC.UK
PROFESSOR OF STATISTICS
Dr CHRISTOPHER FALLAIZE CHRIS.FALLAIZE@NOTTINGHAM.AC.UK
LECTURER
Abstract
We detail an approach to developing Stein’s method for bounding integral metrics on probability measures defined on a Riemannian manifold M. Our approach exploits the relationship between the generator of a diffusion on M having a target invariant measure and its characterising Stein operator. We consider a pair of such diffusions with different starting points, and through analysis of the distance process between the pair, derive Stein factors, which bound the solution to the Stein equation and its derivatives. The Stein factors contain curvature-dependent terms and reduce to those currently available for Rm, and moreover imply that the bounds for Rm remain valid when M is a flat manifold.
Citation
Le, H., Lewis, A., Bharath, K., & Fallaize, C. (2024). A diffusion approach to Stein's method on Riemannian manifolds. Bernoulli, 30(2), 1079-1104. https://doi.org/10.3150/23-bej1625
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 21, 2023 |
Publication Date | May 1, 2024 |
Deposit Date | May 10, 2023 |
Publicly Available Date | May 1, 2024 |
Journal | Bernoulli |
Print ISSN | 1350-7265 |
Electronic ISSN | 1573-9759 |
Publisher | Bernoulli Society for Mathematical Statistics and Probability |
Peer Reviewed | Peer Reviewed |
Volume | 30 |
Issue | 2 |
Pages | 1079-1104 |
DOI | https://doi.org/10.3150/23-bej1625 |
Keywords | Coupling; integral metrics; Stein equation; stochastic flow; Wasserstein distance |
Public URL | https://nottingham-repository.worktribe.com/output/20560259 |
Publisher URL | https://projecteuclid.org/journals/bernoulli/volume-30/issue-2/A-diffusion-approach-to-Steins-method-on-Riemannian-manifolds/10.3150/23-BEJ1625.full |
Files
23-BEJ1625
(328 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
Copyright Statement
This research was funded, in whole or in part, by [Engineering and Physical Sciences Research Council (EPSRC), UK, EPSRC EP/V048104/1]. A CC BY 4.0 license is applied to this article arising from this submission, in accordance with the grant’s open access conditions
A Diffusion Approach To Stein's Method On Riemannian Manifolds
(511 Kb)
PDF
You might also like
Topo-Geometric Analysis of Variability in Point Clouds using Persistence Landscapes
(2024)
Journal Article
Tumor radiogenomics in gliomas with Bayesian layered variable selection
(2023)
Journal Article
Probabilistic Learning of Treatment Trees in Cancer
(2023)
Journal Article
Spatially penalized registration of multivariate functional data
(2023)
Journal Article
Shape and Structure Preserving Differential Privacy
(2022)
Presentation / Conference Contribution
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search