Infill asymptotics for adaptive kernel estimators of spatial intensity

DOI10.1111/anzs.12319zbMath1521.62185OpenAlexW3162879898MaRDI QIDQ6051622

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Publication date: 20 October 2023

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12319

zbMATH Keywords

bandwidthmean squared errorpoint processinfill asymptoticsintensity functionadaptive kernel estimator

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Density estimation (62G07) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (2)

A Festschrift for Adrian Baddeley ⋮ Non-parametric adaptive bandwidth selection for kernel estimators of spatial intensity functions

Cites Work

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• Spherically symmetric multivariate beta family kernels
• Asymptotic optimality of the least-squares cross-validation bandwidth for kernel estimates of intensity functions
• On the utility of asymptotic bandwidth selectors for spatially adaptive kernel density estimation
• Fast computation of spatially adaptive kernel estimates
• On bandwidth variation in kernel estimates. A square root law
• Improved variable window kernel estimates of probability densities
• On estimation of the intensity function of a point process
• Infill asymptotics and bandwidth selection for kernel estimators of spatial intensity functions
• An iterative bandwidth selector for kernel estimation of densities and their derivatives
• A Kernel Method for Smoothing Point Process Data
• Log Gaussian Cox Processes
• Local Regression and Likelihood
• Theory of Spatial Statistics
• Adaptive Smoothing and Density-Based Tests of Multivariate Normality
• A non-model-based approach to bandwidth selection for kernel estimators of spatial intensity functions
• Statistical Analysis and Modelling of Spatial Point Patterns
• Statistical Inference for Spatial Processes

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