Asymptotics of superposition of point processes

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Abstract

The characteristic independence property of Poisson point processes gives an intuitive way to explain why a sequence of point processes becoming less and less repulsive can converge to a Poisson point process. The aim of this paper is to show this convergence for sequences built by superposing, thinning or rescaling determinantal processes. We use Papangelou intensities and Stein’s method to prove this result with a topology based on total variation distance.

Original languageEnglish
Title of host publicationGeometric Science of Information - 2nd International Conference, GSI 2015, Proceedings
EditorsFrank Nielsen, Frank Nielsen, Frank Nielsen, Frederic Barbaresco, Frederic Barbaresco, Frank Nielsen
PublisherSpringer Verlag
Pages187-194
Number of pages8
ISBN (Print)9783319250397, 9783319250397
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event2nd International Conference on Geometric Science of Information, GSI 2015 - Palaiseau, France
Duration: 28 Oct 201530 Oct 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9389
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Geometric Science of Information, GSI 2015
Country/TerritoryFrance
CityPalaiseau
Period28/10/1530/10/15

Keywords

  • Ginibre point process
  • Poisson point process
  • Stein’s method
  • Stochastic geometry
  • β-Ginibre point process

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