Second-order variational equations for spatial point processes with a view to pair correlation function estimation

Jean François Coeurjolly*, Francisco Cuevas-Pacheco, Rasmus Waagepetersen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

2 Citations (Scopus)
32 Downloads (Pure)

Abstract

Second-order variational type equations for spatial point processes are established. In case of log linear parametric models for pair correlation functions, it is demonstrated that the variational equations can be applied to construct estimating equations with closed form solutions for the parameter estimates. This result is used to fit orthogonal series expansions of log pair correlation functions of general form.

Original languageEnglish
JournalSpatial Statistics
Volume30
Pages (from-to)103-115
Number of pages13
ISSN2211-6753
DOIs
Publication statusPublished - 1 Apr 2019

Keywords

  • Estimating equation
  • Non-parametric estimation
  • Orthogonal series expansion
  • Pair correlation function
  • Variational equation

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