Inference

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Abstract

Chapter 9: 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.

OriginalsprogEngelsk
TitelNew Perspectives in Stochastic Geometry
RedaktørerWilfrid S. Kendall, Ilya Molchanov
Antal sider41
UdgivelsesstedOxford, UK
ForlagOxford University Press
Publikationsdato2010
Sider307-347
ISBN (Trykt)978-0-19-923257-4
StatusUdgivet - 2010

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