Hostname: page-component-745bb68f8f-d8cs5 Total loading time: 0 Render date: 2025-01-11T05:34:31.980Z Has data issue: false hasContentIssue false
  • English
  • Français

Transformations of Markov point processes

Published online by Cambridge University Press:  01 July 2016

Eva B. Vedel Jensen  and
Linda Stougaard Nielsen
Eva B. Vedel Jensen
Affiliation:
University of Aarhus
Linda Stougaard Nielsen
Affiliation:
University of Aarhus
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. 281
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] Baddeley, A.J., Møller, J. and Waagepetersen, R. (1997). Estimation of local interaction in nonstationary point patterns. In preparation.Google Scholar
[2] Baddeley, A.J. and Turner, R. (1997). Practical maximum pseudolikelihood for spatial point patterns. In 9th Internat. Workshop Stereology, Stochastic Geometry and Image Analysis, Adv. Appl. Prob. 30, p. 273.Google Scholar
[3] Brix, A. and Møller, J. (1997). Space-time multitype log Gaussian Cox processes with a view to modelling weed data. In preparation.Google Scholar
[4] SMITH, R.L. (1997). Detecting signals in climatological data. In Proceedings of 51st Session of the International Statistical Institute, Book 1. pp. 211–214.Google Scholar
[5] Stoyan, D. and Stoyan, H. (1997). Non-homogeneous Gibbs process models for forestry. Manuscript.Google Scholar