AbstractIn 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
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...
International audienceWe focus on the estimation of the intensity of a Poisson process in the presen...
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 investigate the asymptotic mean squared error of kernel estimators of the intensity function of a...
From the previous research, a kernel-type estimator of the intensity ofthe cyclic Poisson process wi...
Despite the fundamental nature of the inhomogeneous Poisson process in the theory and application of...
We consider a kernel-type nonparametric estimator of the intensity function of a cyclic Poisson proc...
Despite the fundamental nature of the inhomogeneous Poisson process in the theory and application of...
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...
The estimation of the intensity function of an inhomogeneous Poisson process is considered when the ...
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...
International audienceWe focus on the estimation of the intensity of a Poisson process in the presen...
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 investigate the asymptotic mean squared error of kernel estimators of the intensity function of a...
From the previous research, a kernel-type estimator of the intensity ofthe cyclic Poisson process wi...
Despite the fundamental nature of the inhomogeneous Poisson process in the theory and application of...
We consider a kernel-type nonparametric estimator of the intensity function of a cyclic Poisson proc...
Despite the fundamental nature of the inhomogeneous Poisson process in the theory and application of...
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...
The estimation of the intensity function of an inhomogeneous Poisson process is considered when the ...
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...
International audienceWe focus on the estimation of the intensity of a Poisson process in the presen...
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