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Covering one point process with another

Frankie Higgs, Mathew Penrose, Xiaochuan Yang

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Abstract

Let X1,X2,… and Y1,Y2,… be i.i.d. random uniform points in a bounded domain A⊂R2 with smooth or polygonal boundary. Given n,m,k∈N, define the two-sample k-coverage thresholdRn,m,k to be the smallest r such that each point of {Y1,…,Ym} is covered at least k times by the disks of radius r centred on X1,…,Xn. We obtain the limiting distribution of Rn,m,k as n→∞ with m=m(n)∼τn for some constant τ>0, with k fixed. If A has unit area, then nπRn,m(n),12-logn is asymptotically Gumbel distributed with scale parameter 1 and location parameter logτ. For k>2, we find that nπRn,m(n),k2-logn-(2k-3)loglogn is asymptotically Gumbel with scale parameter 2 and a more complicated location parameter involving the perimeter of A; boundary effects dominate when k>2. For k=2 the limiting cdf is a two-component extreme value distribution with scale parameters 1 and 2. We also give analogous results for higher dimensions, where the boundary effects dominate for all k.

Original languageEnglish
Article number40
JournalMethodology and Computing in Applied Probability
Volume27
Issue number2
Early online date29 Apr 2025
DOIs
Publication statusPublished - 29 Apr 2025

Data Availability Statement

The code for the simulations discussed in Section 6 is available at https://github.com/frankiehiggs/CovXY and the samples generated by that code are available at https://researchdata.bath.ac.uk/id/eprint/1359.

Funding

All three authors were supported in doing this research by EPSRC grant EP/T028653/1.

FundersFunder number
Engineering and Physical Sciences Research CouncilEP/T028653/1

Keywords

  • Coverage threshold
  • Poisson point process
  • Weak limit

ASJC Scopus subject areas

  • Statistics and Probability
  • General Mathematics

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