- New Perspectives in Stochastic Geometry
- Oxford University Press
This contribution concerns statistical inference for parametric models used in stochastic geometry and based on quick and simple simulation free procedures as well as more comprehensive methods based on a maximum likelihood or Bayesian approach combined with Markov chain Monte Carlo (MCMC) techniques. Due to space limitations the focus is on spatial point processes.
parametric models, simulation free, Bayesian, Markov chain Monte Carlo, MCMC
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