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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}
}

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