Inference

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearch

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.

Original languageEnglish
Title of host publicationNew Perspectives in Stochastic Geometry
EditorsWilfrid S. Kendall, Ilya Molchanov
Number of pages41
Place of PublicationOxford, UK
PublisherOxford University Press
Publication date2010
Pages307-347
ISBN (Print)978-0-19-923257-4
Publication statusPublished - 2010

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