Bayesian inference for a random tessellation process

被引：10

作者：

Blackwell, PG ^{[1
]}

机构：

[1] Univ Sheffield, Dept Probabil & Stat, Sheffield S3 7RH, S Yorkshire, England

来源：

BIOMETRICS | 2001年 / 57卷 / 02期

关键词：

animal territories; Cox process; inhomogeneous Poisson process; Markov chain Monte Carlo; Metropolis-Hastings algorithm; polygon decomposition; tessellation reconstruction; Thiessen polygon; Voronoi tessellation;

D O I：

10.1111/j.0006-341X.2001.00502.x

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：502 / 507

页数：6