Multitype Spatial Point Patterns with Hierarchical Interactions

DOI10.1111/j.0006-341X.1999.01051.xzbMath1059.62588OpenAlexW2116030665WikidataQ43617351 ScholiaQ43617351MaRDI QIDQ4668304

Aila Särkkä, Harri Högmander

Publication date: 18 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.1999.01051.x

zbMATH Keywords

maximum likelihood estimationmaximum pseudolikelihood estimationhierarchical interactionmultitype point patternsnonstationary Gibbs point processes

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Non-Markovian processes: estimation (62M09) Point estimation (62F10)

Related Items (4)

Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology ⋮ Penalized composite likelihoods for inhomogeneous Gibbs point process models ⋮ Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach ⋮ Gibbs point processes for studying the development of spatial-temporal stochastic processes.

Uses Software

• spatial

Cites Work

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• Pseudolikelihood for exponential family models of spatial point processes
• Interaction Pair-potentials for a System of Ant's Nests
• Simulation of some spatial hard core models, and the complete packing problem
• Practical Maximum Pseudolikelihood for Spatial Point Patterns

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