Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-12T19:46:36.742Z Has data issue: false hasContentIssue false
  • English
  • Français

Practical maximum pseudolikelihood for spatial point patterns

Published online by Cambridge University Press:  01 July 2016

Adrian Baddeley  and
Rolf Turner
Adrian Baddeley
Affiliation:
University of Western Australia
Rolf Turner
Affiliation:
University of New Brunswick
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Papers
Information
Advances in Applied Probability , Volume 30 , Issue 2 , June 1998 , pp. 273
Copyright
Copyright © Applied Probability Trust 1998 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Berman, M. and Turner, T.R. (1992). Approximating point process likelihoods with GLIM. Appl. Statist. 41, 31–38.Google Scholar
[2] Besag, J.E. (1975). Statistical analysis of non-lattice data. The Statistician 24, 179–195.CrossRefGoogle Scholar
[3] Besag, J.E. (1977). Some methods of statistical analysis for spatial data. Bull. Int. Statist. Inst. 47, 77–92.Google Scholar