Covariance of empirical functionals for inhomogeneous spatial point processes when the intensity has a parametric form

DOI10.1016/j.jspi.2014.07.003zbMath1307.62216OpenAlexW2096473385MaRDI QIDQ466529

Jean-François Coeurjolly, Yongtao Guan

Publication date: 27 October 2014

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2014.07.003

zbMATH Keywords

spatial statisticskernel estimationpoint processescovariance estimation

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Nonparametric estimation (62G05) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Uses Software

• spatstat

Cites Work

• Unnamed Item
• On estimating the asymptotic variance of stationary point processes
• An introduction to the theory of point processes
• Subsampling
• Resampling methods for dependent data
• Moment Estimation for Statistics from Marked Point Processes
• A weighted estimating equation approach for inhomogeneous spatial point processes
• Fast block variance estimation procedures for inhomogeneous spatial point processes
• A Thinned Block Bootstrap Variance Estimation Procedure for Inhomogeneous Spatial Point Patterns
• Log Gaussian Cox Processes
• An Introduction to the Theory of Point Processes
• The impact of bootstrap methods on time series analysis