avviso di seminario

[Giovanni Luca Torrisi <torrisi@iac.rm.cnr.it>]

Giovedi' 6 Novembre ore 16.00

il Professor Jesper Moller, Department of Mathematical Sciences, Aalborg
University (Denmark)

presso l'aula seminterrato dell'Istituto per le Applicazioni del Calcolo
"M. Picone", viale del Policlinico 137, Roma

terra' un seminario dal titolo

"Non-parametric Bayesian MCMC inference and perfect simulation for spatial
point processes"


Abstract

An introduction to pairwise interaction point processes and
perfect simulation will be given. A large part of the talk concerns
non-parametric Bayesian inference for the interaction function. Markov
chain Monte Carlo (MCMC) methods, particularly path sampling, play an
important role. Several empirical results  and various datasets are
considered. The talk is based on the following:


K.K. Berthelsen and J. Moller (2003). Likelihood and non-parametric
Bayesian MCMC  for spatial point processes based on perfect simulation
and path sampling. Scandinavian Journal of Statistics, 30, 549 - 564.


W.S. Kendall and J. Moller (2000). Perfect simulation using dominating
processes on ordered spaces, with application to locally stable point
processes. Advances in Applied Probability, 32, 844 - 865.


J. Moller and R.P. Waagepetersen (2003). Statistical Inference and
Simulation for Spatial Point Processes. Chapman and Hall/CRC, Boca
Raton.