Perfect simulation of Matern Type III point processes

Stochastics Seminar
Thursday, October 2, 2008 - 3:00pm for 1 hour (actually 50 minutes)
Skiles 269
Mark Huber – Departments of Mathematics and Statistical Sciences, Duke University
Heinrich Matzinger
Spatial data are often more dispersed than would be expected if the points were independently placed. Such data can be modeled with repulsive point processes, where the points appear as if they are repelling one another. Various models have been created to deal with this phenomenon. Matern created three algorithms that generate repulsive processes. Here, Matérn Type III processes are used to approximate the likelihood and posterior values for data. Perfect simulation methods are used to draw auxiliary variables for each spatial point that are part of the type III process.