On Least Squares Fitting for Stationary Spatial Point Processes

DOI10.1111/j.1467-9868.2007.00575.xOpenAlexW1983259328MaRDI QIDQ5087435

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Publication date: 11 July 2022

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9868.2007.00575.x

zbMATH Keywords

least squares estimatorsubsamplingspatial point process\(K\)-function

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (5)

Brillinger-mixing point processes need not to be ergodic ⋮ Two-step estimation procedures for inhomogeneous shot-noise Cox processes ⋮ Asymptotic goodness-of-fit tests for point processes based on scaled empirical K-functions ⋮ A marked point process perspective in fitting spatial point process models ⋮ Bootstrapping an inhomogeneous point process

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