The distribution μ of a Poisson cluster process in Χ=Rd (with n-point clusters) is studied via the projection of an auxiliary Poisson measure in the space of configurations in Χn, with the intensity measure being the convolution of the background intensity (of cluster centres) with the probability distribution of a generic cluster. We show that μ is quasi-invariant with respect to the group of compactly supported diffeomorphisms of Χ, and prove an integration by parts formula for μ. The corresponding equilibrium stochastic dynamics is then constructed using the method of Dirichlet forms
summary:$U$-statistics of spatial point processes given by a density with respect to a Poisson proce...
We present the results of an attempt to adapt the distribution function formalism to characterize la...
We show that a Poisson cluster point process is a nearest-neighbour Markov point process [2] if the ...
AbstractThe distribution μcl of a Poisson cluster process in X=Rd (with i.i.d. clusters) is studied ...
The distribution µcl of a Poisson cluster process in X = Rd (with i.i.d. clusters) is studied via an...
The distribution µcl of a Poisson cluster process in X = Rd (with i.i.d. clusters) is studied via an...
Abstract The distribution µ cl of a Poisson cluster process in X = R d (with i.i.d. clusters) is stu...
AbstractThe probability distribution gcl of a Gibbs cluster point process in X=Rd (with i.i.d. rando...
The probability distribution g_cl of a Gibbs cluster point process in X = R^d (with i.i.d. random cl...
AbstractThe probability distribution gcl of a Gibbs cluster point process in X=Rd (with i.i.d. rando...
The probability distribution μ_cl of a general cluster point process in a Riemannian manifold X (wit...
We study properties of the clusters of a system of fully penetrable balls, a model formed by centeri...
Abstract. Cluster dynamics is the property of dynamics of systems of statistical me-chanics when for...
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...
summary:$U$-statistics of spatial point processes given by a density with respect to a Poisson proce...
We present the results of an attempt to adapt the distribution function formalism to characterize la...
We show that a Poisson cluster point process is a nearest-neighbour Markov point process [2] if the ...
AbstractThe distribution μcl of a Poisson cluster process in X=Rd (with i.i.d. clusters) is studied ...
The distribution µcl of a Poisson cluster process in X = Rd (with i.i.d. clusters) is studied via an...
The distribution µcl of a Poisson cluster process in X = Rd (with i.i.d. clusters) is studied via an...
Abstract The distribution µ cl of a Poisson cluster process in X = R d (with i.i.d. clusters) is stu...
AbstractThe probability distribution gcl of a Gibbs cluster point process in X=Rd (with i.i.d. rando...
The probability distribution g_cl of a Gibbs cluster point process in X = R^d (with i.i.d. random cl...
AbstractThe probability distribution gcl of a Gibbs cluster point process in X=Rd (with i.i.d. rando...
The probability distribution μ_cl of a general cluster point process in a Riemannian manifold X (wit...
We study properties of the clusters of a system of fully penetrable balls, a model formed by centeri...
Abstract. Cluster dynamics is the property of dynamics of systems of statistical me-chanics when for...
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...
summary:$U$-statistics of spatial point processes given by a density with respect to a Poisson proce...
We present the results of an attempt to adapt the distribution function formalism to characterize la...
We show that a Poisson cluster point process is a nearest-neighbour Markov point process [2] if the ...