We propose a new bandwidth selection method for kernel estimators of spatial point process intensity functions. The method is based on an optimality criterion motivated by the Campbell formula applied to the reciprocal intensity function. The new method is fully nonparametric, does not require knowledge of higher-order moments, and is not restricted to a specific class of point process. Our approach is computationally straightforward and does not require numerical approximation of integrals
ABSTRACT. This article introduces a kernel estimator of the intensity function of spatial point proc...
33 pages, 27 figures, 2 tables.-- This is an Open Access article distributed under the terms of the ...
© 2017 Springer Science+Business Media, LLC Kernel smoothing of spatial point data can often be impr...
We propose a new bandwidth selection method for kernel estimators of spatial point process intensity...
We propose a new bandwidth selection method for kernel estimators of spatial point process intensity...
We propose a new bandwidth selection method for kernel estimators of spatial point process intensity...
We discuss and compare various approaches to the problem of bandwidth \nselection for kernel estimat...
We discuss and compare various approaches to the problem of bandwidth selection for kernel estimato...
We investigate the asymptotic mean squared error of kernel estimators of the intensity function of a...
We propose a new fully non-parametric two-step adaptive bandwidth selection method for kernel estima...
This article introduces a kernel estimator of the intensity function of spatial point processes taki...
In this paper, kernel function methods are considered for estimating the intensity function of a non...
We investigate the asymptotic mean squared error of kernel estimators of the intensity function of ...
AbstractIn this paper, kernel function methods are considered for estimating the intensity function ...
We investigate the asymptotic mean squared error of kernel estimators of the intensity function of a...
ABSTRACT. This article introduces a kernel estimator of the intensity function of spatial point proc...
33 pages, 27 figures, 2 tables.-- This is an Open Access article distributed under the terms of the ...
© 2017 Springer Science+Business Media, LLC Kernel smoothing of spatial point data can often be impr...
We propose a new bandwidth selection method for kernel estimators of spatial point process intensity...
We propose a new bandwidth selection method for kernel estimators of spatial point process intensity...
We propose a new bandwidth selection method for kernel estimators of spatial point process intensity...
We discuss and compare various approaches to the problem of bandwidth \nselection for kernel estimat...
We discuss and compare various approaches to the problem of bandwidth selection for kernel estimato...
We investigate the asymptotic mean squared error of kernel estimators of the intensity function of a...
We propose a new fully non-parametric two-step adaptive bandwidth selection method for kernel estima...
This article introduces a kernel estimator of the intensity function of spatial point processes taki...
In this paper, kernel function methods are considered for estimating the intensity function of a non...
We investigate the asymptotic mean squared error of kernel estimators of the intensity function of ...
AbstractIn this paper, kernel function methods are considered for estimating the intensity function ...
We investigate the asymptotic mean squared error of kernel estimators of the intensity function of a...
ABSTRACT. This article introduces a kernel estimator of the intensity function of spatial point proc...
33 pages, 27 figures, 2 tables.-- This is an Open Access article distributed under the terms of the ...
© 2017 Springer Science+Business Media, LLC Kernel smoothing of spatial point data can often be impr...