Perfect simulation and inference for spatial point processesby:
Kasper K. Berthelsen
The advantages and limitations of using perfect simulation for simulation- based inference for pairwise interaction point processes are discussed. Various aspects of likelihood inference for the Strauss process with unknown range of interaction are studied. A large part of the paper concerns non-parametric Bayesian inference for the interaction function. Markov chain Monte Carlo methods, particularly path sampling, play an important role. Several empirical results and various datasets are considered.