Lower large deviations for geometric functionals

Christian Hirsch*, Benedikt Jahnel, Andras Tobias

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

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This work develops a methodology for analyzing large-deviation lower tails associated with geometric functionals computed on a homogeneous Poisson point process. The technique applies to characteristics expressed in terms of stabilizing score functions exhibiting suitable monotonicity properties. We apply our results to clique counts in the random geometric graph, intrinsic volumes of Poisson-Voronoi cells, as well as power-weighted edge lengths in the random geometric, k-nearest neighbor and relative neighborhood graph.

Originele taal-2English
Pagina's (van-tot)1-12
Aantal pagina's12
TijdschriftElectronic communications in probability
StatusPublished - 2020

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