textabstractWe consider the problem of estimating the intensity function of a cyclic Poisson point process. We suppose that only a single realization of the cyclic Poisson point process is observed within a bounded 'window', and our aim is to estimate consistently the intensity function at a given point. A nearest neighbor estimator of the intensity function is proposed, and we show that our estimator is weakly and strongly consistent, as the window expands
Motivated by applications of Poisson processes for modelling periodic time-varying phenomena, we stu...
We consider the problem of using either grouped observations of a counting process over a period or ...
In this paper, we revisit the original ideas of Stein and propose an estimator of the intensity para...
We consider the problem of estimating the intensity function of a cyclic Poisson point process. We s...
We consider the problem of estimating the local intensity of a cyclic Poisson point process, when we...
AbstractWe construct and investigate a consistent kernel-type nonparametric estimator of the intensi...
We consider the problem of estimating the local intensity of a cyclic Poisson point process, when we...
Abstract. We consider the problem of estimating the intensity func- tion of a cyclic Poisson process...
We construct and investigate a consistent kernel-type nonparametric estimator of the intensity funct...
We consider a kernel-type nonparametric estimator of the intensity function of a cyclic Poisson proc...
AbstractWe consider a kernel-type nonparametric estimator of the intensity function of a cyclic Pois...
Abstract We construct and investigate a consistent kernel-type nonparametric esti-mator of the inten...
This manuscript discusses the strong consistency and the asymptotic distribution of an estimator for...
Recent work on point processes includes studying posterior convergence rates of estimating a continu...
Motivated by applications of Poisson processes for modelling periodic time-varying phenomena, we stu...
Motivated by applications of Poisson processes for modelling periodic time-varying phenomena, we stu...
We consider the problem of using either grouped observations of a counting process over a period or ...
In this paper, we revisit the original ideas of Stein and propose an estimator of the intensity para...
We consider the problem of estimating the intensity function of a cyclic Poisson point process. We s...
We consider the problem of estimating the local intensity of a cyclic Poisson point process, when we...
AbstractWe construct and investigate a consistent kernel-type nonparametric estimator of the intensi...
We consider the problem of estimating the local intensity of a cyclic Poisson point process, when we...
Abstract. We consider the problem of estimating the intensity func- tion of a cyclic Poisson process...
We construct and investigate a consistent kernel-type nonparametric estimator of the intensity funct...
We consider a kernel-type nonparametric estimator of the intensity function of a cyclic Poisson proc...
AbstractWe consider a kernel-type nonparametric estimator of the intensity function of a cyclic Pois...
Abstract We construct and investigate a consistent kernel-type nonparametric esti-mator of the inten...
This manuscript discusses the strong consistency and the asymptotic distribution of an estimator for...
Recent work on point processes includes studying posterior convergence rates of estimating a continu...
Motivated by applications of Poisson processes for modelling periodic time-varying phenomena, we stu...
Motivated by applications of Poisson processes for modelling periodic time-varying phenomena, we stu...
We consider the problem of using either grouped observations of a counting process over a period or ...
In this paper, we revisit the original ideas of Stein and propose an estimator of the intensity para...