A Thinned Block Bootstrap Variance Estimation Procedure for Inhomogeneous Spatial Point Patterns
From MaRDI portal
Publication:3632601
DOI10.1198/016214507000000879zbMath1332.62108OpenAlexW1985271258MaRDI QIDQ3632601
Publication date: 12 June 2009
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1198/016214507000000879
Bootstrap, jackknife and other resampling methods (62F40) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items (25)
A note on gaps in proofs of central limit theorems ⋮ BAYESIAN SELECTION OF LOCAL BANDWIDTH IN NON-HOMOGENEOUS POISSON PROCESS KERNEL ESTIMATORS FOR THE INTENSITY FUNCTION ⋮ Two-Step Estimation for Inhomogeneous Spatial Point Processes ⋮ Variational approach for spatial point process intensity estimation ⋮ Information criteria for inhomogeneous spatial point processes ⋮ Mixed-Poisson point process with partially observed covariates: ecological momentary assessment of smoking ⋮ Testing First-Order Spherical Symmetry of Spatial Point Processes ⋮ Covariance of empirical functionals for inhomogeneous spatial point processes when the intensity has a parametric form ⋮ A concentration inequality for inhomogeneous Neyman-Scott point processes ⋮ Convex and non-convex regularization methods for spatial point processes intensity estimation ⋮ A fast spectral quasi-likelihood approach for spatial point processes ⋮ A Model-Based Approach for Making Ecological Inference from Distance Sampling Data ⋮ Median-based estimation of the intensity of a spatial point process ⋮ Spatial point process models for location-allocation problems ⋮ Analysis of Minnesota colon and rectum cancer point patterns with spatial and nonspatial covariate information ⋮ Bootstrapping kernel intensity estimation for inhomogeneous point processes with spatial covariates ⋮ Consistent Smooth Bootstrap Kernel Intensity Estimation for Inhomogeneous Spatial Poisson Point Processes ⋮ Hidden Second-order Stationary Spatial Point Processes ⋮ Variance Estimation for Statistics Computed from Inhomogeneous Spatial Point Processes ⋮ Functional Principal Component Analysis of Spatiotemporal Point Processes With Applications in Disease Surveillance ⋮ Inference for Clustered Inhomogeneous Spatial Point Processes ⋮ Bias-Corrected Variance Estimation and Hypothesis Testing for Spatial Point and Marked Point Processes Using Subsampling ⋮ Bayesian Semiparametric Intensity Estimation for Inhomogeneous Spatial Point Processes ⋮ Bootstrapping an inhomogeneous point process ⋮ Bayesian Wombling for Spatial Point Processes
Uses Software
This page was built for publication: A Thinned Block Bootstrap Variance Estimation Procedure for Inhomogeneous Spatial Point Patterns
