Functional central limit theorem for topological functionals of Gaussian critical points
Christian Hirsch, Rapha\"el Lachi\`eze-Rey (MATHNET)

TL;DR
This paper establishes a functional central limit theorem for Betti numbers of Gaussian fields' excursions, advancing understanding in topological data analysis by analyzing their asymptotic behavior as the observation window expands.
Contribution
It introduces a novel functional CLT for topological functionals of Gaussian fields, combining geometric stabilization techniques with asymptotic analysis.
Findings
Proves a functional CLT for Betti numbers with growing observation window.
Establishes fixed-level CLTs using martingale methods.
Identifies non-degenerate limiting variance for the topological functionals.
Abstract
We consider Betti numbers of the excursion of a smooth Euclidean Gaussian field restricted to a rectangular window, in the asymptotics where the window grows to R^d . With motivations coming from Topological Data Analysis, we derive a functional Central Limit Theorem where the varying argument is the thresholding parameter, under assumptions of regularity and covariance decay for the field and its derivatives. We also show fixed-level CLTs coming from martingale based techniques inspired from the theory of geometric stabilisation, and limiting non-degenerate variance.
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.
Taxonomy
TopicsTopological and Geometric Data Analysis
