Coverage of space in Boolean models

Mathematics – Combinatorics

Scientific paper

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Published at http://dx.doi.org/10.1214/074921706000000158 in the IMS Lecture Notes--Monograph Series (http://www.imstat.org/

Scientific paper

10.1214/074921706000000158

For a marked point process $\{(x_i,S_i)_{i\geq 1}\}$ with $\{x_i\in \Lambda:i\geq 1\}$ being a point process on $\Lambda \subseteq \mathbb{R}^d$ and $\{S_i\subseteq R^d:i\geq 1\}$ being random sets consider the region $C=\cup_{i\geq 1}(x_i+S_i)$. This is the covered region obtained from the Boolean model $\{(x_i+S_i):i\geq 1\}$. The Boolean model is said to be completely covered if $\Lambda \subseteq C$ almost surely. If $\Lambda$ is an infinite set such that ${\bf s}+\Lambda \subseteq \Lambda$ for all ${\bf s}\in \Lambda$ (e.g. the orthant), then the Boolean model is said to be eventually covered if ${\bf t}+\Lambda \subseteq C$ for some ${\bf t}$ almost surely. We discuss the issues of coverage when $\Lambda$ is $\mathbb{R}^d$ and when $\Lambda$ is $[0,\infty)^d$.

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