Boolean model (probability theory)

For statistics in probability theory, the Boolean-Poisson model or simply Boolean model for a random subset of the plane (or higher dimensions, analogously) is one of the simplest and most tractable models in stochastic geometry. Take a Poisson point process of rate λ {\displaystyle \lambda } in the plane and make each point be the center of a random set; the resulting union of overlapping sets is a realization of the Boolean model B {\displaystyle {\mathcal {B}}} .

Source: Wikipedia — Boolean model (probability theory) (CC BY-SA 4.0)

Boolean model (probability theory)

For statistics in probability theory, the Boolean-Poisson model or simply Boolean model for a random subset of the plane (or higher dimensions, analogously) is one of the simplest and most tractable models in stochastic geometry. Take a Poisson point process of rate λ {\displaystyle \lambda } in the plane and make each point be the center of a random set; the resulting union of overlapping sets is a realization of the Boolean model B {\displaystyle {\mathcal {B}}} .

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Source: Wikipedia "Boolean model (probability theory)" · CC BY-SA 4.0

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