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Biometrics. 2001 Jun;57(2):502-7.

Bayesian inference for a random tessellation process.

Author information

1
Department of Probability and Statistics, University of Sheffield, UK. P.Blackwell@sheffield.ac.uk

Abstract

This article describes an inhomogeneous Poisson point process in the plane with an intensity function based on a Dirichlet tessellation process and a method for using observations on the point process to make fully Bayesian inferences about the underlying tessellation. The method is implemented using a Markov chain Monte Carlo approach. An application to modeling the territories of clans of badgers, Meles meles, is described.

[Indexed for MEDLINE]

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