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New Perspectives in Stochastic Geometry$
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Wilfrid S. Kendall and Ilya Molchanov

Print publication date: 2009

Print ISBN-13: 9780199232574

Published to Oxford Scholarship Online: February 2010

DOI: 10.1093/acprof:oso/9780199232574.001.0001

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Inference

Inference

Chapter:
(p.307) 9 Inference
Source:
New Perspectives in Stochastic Geometry
Author(s):

Jesper Møller

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199232574.003.0009

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.

Keywords:   parametric models, simulation free, Bayesian, Markov chain Monte Carlo, MCMC

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