Gaussian polytopes: a cumulant-based approach
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Publication:1635836
DOI10.1016/j.jco.2018.03.001zbMath1396.60012arXiv1602.06148OpenAlexW2963451912MaRDI QIDQ1635836
Publication date: 1 June 2018
Published in: Journal of Complexity (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1602.06148
Geometric probability and stochastic geometry (60D05) Large deviations (60F10) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items (8)
The method of cumulants for the normal approximation ⋮ A theory of capacity and sparse neural encoding ⋮ Facets of high-dimensional Gaussian polytopes ⋮ Expected intrinsic volumes and facet numbers of random beta‐polytopes ⋮ Convex hulls of perturbed random point sets ⋮ Intrinsic volumes and Gaussian polytopes: the missing piece of the jigsaw ⋮ Limit theorems for random simplices in high dimensions ⋮ The volume of simplices in high-dimensional Poisson-Delaunay tessellations
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