Asymptotic normality for random polytopes in non-Euclidean geometries
Probability
2019-09-13 v1 Metric Geometry
Abstract
Asymptotic normality for the natural volume measure of random polytopes generated by random points distributed uniformly in a convex body in spherical or hyperbolic spaces is proved. Also the case of Hilbert geometries is treated and central limit theorems in Lutwak's dual Brunn--Minkowski theory are established. The results follow from a central limit theorem for weighted random polytopes in Euclidean spaces. In the background are Stein's method for normal approximation and geometric properties of weighted floating bodies.
Keywords
Cite
@article{arxiv.1909.05607,
title = {Asymptotic normality for random polytopes in non-Euclidean geometries},
author = {Florian Besau and Christoph Thäle},
journal= {arXiv preprint arXiv:1909.05607},
year = {2019}
}
Comments
7 figures