Should We Condition on the Number of Points When Modelling Spatial Point Patterns?

DOI10.1111/insr.12501zbMath1528.62050arXiv2108.10051OpenAlexW3195420228MaRDI QIDQ6067599

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Publication date: 14 December 2023

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2108.10051

zbMATH Keywords

maximum likelihoodconditional inferencemaximum pseudo-likelihoodglobal envelope testspatial point process models

Mathematics Subject Classification ID

Inference from spatial processes (62M30)

Cites Work

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• Pseudolikelihood for exponential family models of spatial point processes
• Logistic regression for spatial Gibbs point processes
• ggplot2
• Statistical Inference for Spatial Processes
• The coincidence approach to stochastic point processes
• Log Gaussian Cox Processes
• A one-way ANOVA test for functional data with graphical interpretation
• Determinantal Point Process Models and Statistical Inference
• Global Envelope Tests for Spatial Processes

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