Jump to ContentJump to Main Navigation
New Perspectives in Stochastic Geometry$
Users without a subscription are not able to see the full content.
New Perspectives in Stochastic Geometry

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

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

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .