Bayesian Strategies for Repulsive Spatial Point Processes
Bayesian Strategies for Repulsive Spatial Point Processes
There is increasing interest to develop Bayesian inferential algorithms for point process models with intractable likelihoods. A purpose of this paper is to illustrate the utility of using simulation based strategies, including approximate Bayesian computation (ABC) and Markov chain Monte Carlo (MCMC) methods for this task. Shirota and Gelfand (2017) …