Perfect Sampling for Posterior Landmark Distributions with an Application to the Detection of Disease Clusters
Marc A. Loizeaux, Ian W. McKeague · Lecture notes-monograph series · 2001
We study perfect sampling for the posterior distribution in a class of spatial point process models introduced by Baddeley and van Lieshout (1993).For Neyman-Scott cluster models, perfect sampling from the posterior is shown to be computationally feasible via a coupling-fromthe-past type algorithm of Kendall and M0ller.An application to data on leukemia incidence in upstate New York is presented.