Random fields and the geometry of Wiener space
Jonathan E. Taylor, Sreekar Vadlamani

TL;DR
This paper extends Gaussian geometric functionals to infinite dimensions to analyze the geometry of smooth random fields within Wiener space, providing new tools for understanding their probabilistic and geometric properties.
Contribution
It introduces infinite dimensional extensions of Gaussian Minkowski functionals and applies them to study the geometry of smooth Wiener functionals.
Findings
Extended Gaussian Minkowski functionals to infinite dimensions
Analyzed geometric properties of smooth Wiener functionals
Provided new methods for probabilistic geometric analysis
Abstract
In this work we consider infinite dimensional extensions of some finite dimensional Gaussian geometric functionals called the Gaussian Minkowski functionals. These functionals appear as coefficients in the probability content of a tube around a convex set under the standard Gaussian law . Using these infinite dimensional extensions, we consider geometric properties of some smooth random fields in the spirit of [Random Fields and Geometry (2007) Springer] that can be expressed in terms of reasonably smooth Wiener functionals.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
