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Boolean-Poisson Model


The Boolean-Poisson model in continuum percolation theory is a Boolean model driven by a stationary point process X which is a Poisson point process. The Boolean-Poisson model is among the most studied models of continuum percolation theory, a fact likely attributable to the similarities between it and site percolation in discrete percolation theory.

Historically, the Boolean-Poisson model is sometimes called a Boolean model (Hanisch 1981).


See also

AB Percolation, Bernoulli Percolation Model, Bond Percolation, Boolean Model, Bootstrap Percolation, Cayley Tree, Cluster, Cluster Perimeter, Continuum Percolation Theory, Dependent Percolation, Discrete Percolation Theory, Disk Model, First-Passage Percolation, Germ-Grain Model, Inhomogeneous Percolation Model, Lattice Animal, Long-Range Percolation Model, Mixed Percolation Model, Oriented Percolation Model, Percolation, Percolation Theory, Percolation Threshold, Polyomino, Random-Cluster Model, Random-Connection Model, Random Walk, s-Cluster, s-Run, Site Percolation

This entry contributed by Christopher Stover

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References

Hanisch, K. H. "On Classes of Random Sets and Point Process Models." Serdica Bulgariacae Mathematicae Publicationes 7, 160-166, 1981.Meester, R. and Roy, R. Continuum Percolation. New York: Cambridge University Press, 1996.

Referenced on Wolfram|Alpha

Boolean-Poisson Model

Cite this as:

Weisstein, Eric W., with contributions by Christopher Stover. "Boolean-Poisson Model." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/Boolean-PoissonModel.html

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