pith. sign in

arxiv: 0905.4874 · v2 · pith:BIYWKMGFnew · submitted 2009-05-29 · 🧮 math.PR

Asymptotics of the visibility function in the Boolean model

classification 🧮 math.PR
keywords functionmodelbooleanvisibilityasymptoticscasesconvergencecoverage
0
0 comments X
read the original abstract

The aim of this paper is to give a precise estimate on the tail probability of the visibility function in a germ-grain model: this function is defined as the length of the longest ray starting at the origin that does not intersect an obstacle in a Boolean model. We proceed in two or more dimensions using coverage techniques. Moreover, convergence results involving a type I extreme value distribution are shown in the two particular cases of small obstacles or a large obstacle-free region.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.