Bootstrap bandwidth selection for the pair correlation function of inhomogeneous spatial point processes
DOI10.1080/00949655.2023.2220860OpenAlexW4380848854MaRDI QIDQ6181674
Jorge Mateu, Isabel Fuentes-Santos, Wenceslao González Manteiga
Publication date: 23 January 2024
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2023.2220860
pair correlation functionMISEbandwidth selectormarked point bootstrapkernel estimator: intensity function
Nonparametric estimation (62G05) Statistics (62-XX) Bootstrap, jackknife and other resampling methods (62F40) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Cites Work
- Unnamed Item
- Unnamed Item
- Globally intensity-reweighted estimators for $K$- and pair correlation functions
- Bootstrapping an inhomogeneous point process
- Fast computation of spatially adaptive kernel estimates
- Nonparametric estimation of the dependence of a spatial point process on spatial covariates
- Bootstrapping kernel intensity estimation for inhomogeneous point processes with spatial covariates
- A least-squares cross-validation bandwidth selection approach in pair correlation function estimations
- Improving Ratio Estimators of Second Order Point Process Characteristics
- Consistent Smooth Bootstrap Kernel Intensity Estimation for Inhomogeneous Spatial Poisson Point Processes
- A Kernel Method for Smoothing Point Process Data
- Non‐ and semi‐parametric estimation of interaction in inhomogeneous point patterns
- Practical Maximum Pseudolikelihood for Spatial Point Patterns
- Fast bandwidth selection for estimation of the pair correlation function
- Bandwidth selection for estimating the two-point correlation function of a spatial point pattern using AMSE
- A Composite Likelihood Cross‐validation Approach in Selecting Bandwidth for the Estimation of the Pair Correlation Function
- Statistical Analysis and Modelling of Spatial Point Patterns
- Second‐Order Analysis of Inhomogeneous Spatial Point Processes Using Case–Control Data
This page was built for publication: Bootstrap bandwidth selection for the pair correlation function of inhomogeneous spatial point processes