Add to ORKGIn this paper, kernel function methods are considered for estimating the intensity function of a non-homogeneous Poisson process. A least-squares cross-validation bandwidth for the kernel intensity estimator is introduced, and it is proven that this bandwidth is asymptotically optimal for kernel intensity estimation.bandwidth selection intensity function cross-validation bandwidth kernel estimation nonstationary Poisson processes
We consider a kernel-type nonparametric estimator of the intensity function of a cyclic Poisson proc...
Least squares cross-validation (CV) methods are often used for automated bandwidth selection. We sho...
AbstractWe consider a kernel-type nonparametric estimator of the intensity function of a cyclic Pois...
AbstractIn this paper, kernel function methods are considered for estimating the intensity function ...
In this paper, kernel function methods are considered for estimating the intensity function of a non...
In this paper, kernel function methods are considered for estimating the intensity function of a non...
AbstractIn this paper, kernel function methods are considered for estimating the intensity function ...
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 investigate the asymptotic mean squared error of kernel estimators of the intensity function of a...
AbstractThis note concentrates on the nonparametric estimation of a probability mass function (p.m.f...
In this investigation, the problem of estimating the probability density function of a function of m...
In this investigation, the problem of estimating the probability density function of a function of m...
From the previous research, a kernel-type estimator of the intensity ofthe cyclic Poisson process wi...
We consider a kernel-type nonparametric estimator of the intensity function of a cyclic Poisson proc...
Least squares cross-validation (CV) methods are often used for automated bandwidth selection. We sho...
AbstractWe consider a kernel-type nonparametric estimator of the intensity function of a cyclic Pois...
AbstractIn this paper, kernel function methods are considered for estimating the intensity function ...
In this paper, kernel function methods are considered for estimating the intensity function of a non...
In this paper, kernel function methods are considered for estimating the intensity function of a non...
AbstractIn this paper, kernel function methods are considered for estimating the intensity function ...
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 investigate the asymptotic mean squared error of kernel estimators of the intensity function of a...
AbstractThis note concentrates on the nonparametric estimation of a probability mass function (p.m.f...
In this investigation, the problem of estimating the probability density function of a function of m...
In this investigation, the problem of estimating the probability density function of a function of m...
From the previous research, a kernel-type estimator of the intensity ofthe cyclic Poisson process wi...
We consider a kernel-type nonparametric estimator of the intensity function of a cyclic Poisson proc...
Least squares cross-validation (CV) methods are often used for automated bandwidth selection. We sho...
AbstractWe consider a kernel-type nonparametric estimator of the intensity function of a cyclic Pois...