Error bounds in stochastic-geometric normal approximation - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Discrete Mathematics and Theoretical Computer Science Année : 2008

Error bounds in stochastic-geometric normal approximation

Résumé

We provide normal approximation error bounds for sums of the form $\sum_x \xi_x$, indexed by the points $x$ of a Poisson process (not necessarily homogeneous) in the unit $d$-cube, with each term $\xi_x$ determined by the configuration of Poisson points near to $x$ in some sense. We consider geometric graphs and coverage processes as examples of our general results.
Fichier principal
Vignette du fichier
dmAI0104.pdf (321.29 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01194682 , version 1 (07-09-2015)

Identifiants

Citer

Mathew D. Penrose, Tom Rosoman. Error bounds in stochastic-geometric normal approximation. Fifth Colloquium on Mathematics and Computer Science, 2008, Kiel, Germany. pp.71-94, ⟨10.46298/dmtcs.3557⟩. ⟨hal-01194682⟩

Collections

TDS-MACS
63 Consultations
520 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More