Extremal behavior of large cells in the Poisson hyperplane mosaic
Moritz Otto

TL;DR
This paper investigates the asymptotic distribution of large cells in a Poisson hyperplane mosaic, establishing a Poisson limit theorem for their centers based on size measures like inradius and intrinsic volumes.
Contribution
It generalizes previous results by proving a Poisson limit theorem for large cells in higher dimensions and for various size measures, extending existing approximation techniques.
Findings
Established a Poisson limit theorem for large cell centers
Extended approximation results to a broader class of size measures
Generalized previous work to higher dimensions and different intrinsic volumes
Abstract
We study the asymptotic behavior of a size-marked point process of centers of large cells in a stationary and isotropic Poisson hyperplane mosaic in dimension . The sizes of the cells are measured by their inradius or their th intrinsic volume (), for example. We prove a Poisson limit theorem for this process in Kantorovich-Rubinstein distance and thereby generalize a result in Chenavier and Hemsley (2016) in various directions. Our proof is based on a general Poisson process approximation result that extends a theorem in Bobrowski, Schulte and Yogeshwaran (2021).
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
TopicsPoint processes and geometric inequalities · Stochastic processes and statistical mechanics · Bayesian Methods and Mixture Models
