Bayesian inference for a random tessellation process.

P G Blackwell

doi:10.1111/j.0006-341x.2001.00502.x

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Bayesian inference for a random tessellation process.

P G Blackwell

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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.

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P G Blackwell. 2001. Bayesian inference for a random tessellation process.. https://doi.org/10.1111/j.0006-341x.2001.00502.x

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