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Conditional simulation of a Boolean model

Published online by Cambridge University Press:  01 July 2016

Ch. Lantuéjoul
Ch. Lantuéjoul*
Affiliation:
Centre de Géostatistique
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Extract

A Boolean model in ℝd is the union of independent random compact subsets of ℝd (called ‘grains’) located according to a Poisson point process. A sequential algorithm is proposed to conditionally simulate a Boolean model, i.e. so that a finite set of specified points belongs to the grains and another set to the complementary phase (referred to as the ‘pores’).

Type
Stochastic Geometry and Statistical Applications
Information
Advances in Applied Probability , Volume 28 , Issue 2 , June 1996 , pp. 336
Copyright
Copyright © Applied Probability Trust 1996 

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