Bayesian inference for a random tessellation process

Biometrics. 2001 Jun;57(2):502-7. doi: 10.1111/j.0006-341x.2001.00502.x.

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.

MeSH terms

  • Animals
  • Bayes Theorem*
  • Carnivora
  • Demography
  • England
  • Models, Statistical
  • Random Allocation
  • Territoriality