Likelihood and Non‐parametric Bayesian MCMC Inference for Spatial Point Processes Based on Perfect Simulation and Path Sampling

Kasper K. Berthelsen and Jesper Møller

Scandinavian Journal of Statistics, 2003, vol. 30, issue 3, 549-564

Abstract: We consider the combination of path sampling and perfect simulation in the context of both likelihood inference and non‐parametric Bayesian inference for pairwise interaction point processes. Several empirical results based on simulations and analysis of a data set are presented, and the merits of using perfect simulation are discussed.

Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:bla:scjsta:v:30:y:2003:i:3:p:549-564

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