A Composite Likelihood Cross‐validation Approach in Selecting Bandwidth for the Estimation of the Pair Correlation Function

DOI10.1111/j.1467-9469.2006.00533.xzbMath1142.62072OpenAlexW1977726687MaRDI QIDQ5430584

Yongtao Guan

Publication date: 16 December 2007

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9469.2006.00533.x

zbMATH Keywords

spatial point processmodel fittingsecond order intensity function

Mathematics Subject Classification ID

Related Items (12)

Bayesian nonparametric estimation of pair correlation function for inhomogeneous spatial point processes ⋮ Multivariate geometric anisotropic Cox processes ⋮ A marked point process perspective in fitting spatial point process models ⋮ Bootstrap bandwidth selection for the pair correlation function of inhomogeneous spatial point processes ⋮ A multiscale maximum entropy moment closure for locally regulated space-time point process models of population dynamics ⋮ Nonparametric inference of doubly stochastic Poisson process data via the kernel method ⋮ On composite marginal likelihoods ⋮ Fast bandwidth selection for estimation of the pair correlation function ⋮ Consistent Smooth Bootstrap Kernel Intensity Estimation for Inhomogeneous Spatial Poisson Point Processes ⋮ Hidden Second-order Stationary Spatial Point Processes ⋮ Classification of events using local pair correlation functions for spatial point patterns ⋮ On Some Statistical Properties of the Spatio-Temporal Product Density

Cites Work

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• Improving Ratio Estimators of Second Order Point Process Characteristics
• A Brief Survey of Bandwidth Selection for Density Estimation
• Log Gaussian Cox Processes
• Estimating Pair Correlation Functions of Planar Cluster Processes
• Generalized Gamma measures and shot-noise Cox processes
• Assessing Isotropy for Spatial Point Processes

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