summary:$U$-statistics of spatial point processes given by a density with respect to a Poisson process are investigated. In the first half of the paper general relations are derived for the moments of the functionals using kernels from the Wiener-Itô chaos expansion. In the second half we obtain more explicit results for a system of $U$-statistics of some parametric models in stochastic geometry. In the logarithmic form functionals are connected to Gibbs models. There is an inequality between moments of Poisson and non-Poisson functionals in this case, and we have a version of the central limit theorem in the Poisson case
This thesis deals with modeling of particle processes. In the first part we ex- amine Gibbs facet pr...
We derive explicit lower and upper bounds for the probability generating functional of a stationary ...
International audienceThis book is centered on the mathematical analysis of random structures embedd...
summary:$U$-statistics of spatial point processes given by a density with respect to a Poisson proce...
summary:$U$-statistics of spatial point processes given by a density with respect to a Poisson proce...
The paper presents introduction to spatial point processes and their characteristics. The reader is ...
AbstractLet ηt be a Poisson point process of intensity t≥1 on some state space Y and let f be a non-...
We summarize and discuss the current state of spatial point process theory and directions for future...
© 2012 John Wiley & Sons, Ltd. We propose a "Poisson-saddlepoint" approximation to the first and sec...
The paper suggests a new family of of spatial point processes distributions. They are defined by mea...
We prove two functional limit theorems for empirical multiparameter second moment functions (general...
We prove two functional limit theorems for empirical multiparameter second moment functions (general...
We consider the problem of estimating a latent point process, given the realization of another point...
We consider the problem of estimating a latent point process, given the realization of another point...
We study the normal approximation of functionals of Poisson measures having the form of a finite sum...
This thesis deals with modeling of particle processes. In the first part we ex- amine Gibbs facet pr...
We derive explicit lower and upper bounds for the probability generating functional of a stationary ...
International audienceThis book is centered on the mathematical analysis of random structures embedd...
summary:$U$-statistics of spatial point processes given by a density with respect to a Poisson proce...
summary:$U$-statistics of spatial point processes given by a density with respect to a Poisson proce...
The paper presents introduction to spatial point processes and their characteristics. The reader is ...
AbstractLet ηt be a Poisson point process of intensity t≥1 on some state space Y and let f be a non-...
We summarize and discuss the current state of spatial point process theory and directions for future...
© 2012 John Wiley & Sons, Ltd. We propose a "Poisson-saddlepoint" approximation to the first and sec...
The paper suggests a new family of of spatial point processes distributions. They are defined by mea...
We prove two functional limit theorems for empirical multiparameter second moment functions (general...
We prove two functional limit theorems for empirical multiparameter second moment functions (general...
We consider the problem of estimating a latent point process, given the realization of another point...
We consider the problem of estimating a latent point process, given the realization of another point...
We study the normal approximation of functionals of Poisson measures having the form of a finite sum...
This thesis deals with modeling of particle processes. In the first part we ex- amine Gibbs facet pr...
We derive explicit lower and upper bounds for the probability generating functional of a stationary ...
International audienceThis book is centered on the mathematical analysis of random structures embedd...