activity
20142021
most citedDecorrelation of a class of Gibbs particle processes and asymptotic properties of U-statistics

12 citations · 16 across the 7 of their papers we have counts for

collaborators

8 papers

stat.ME2021

Fitting three-dimensional Laguerre tessellations by hierarchical marked point process models

Filip Seitl, Jesper Møller, Viktor Beneš

We present a general statistical methodology for analysing a Laguerre tessellation data set viewed as a realization of a marked point process model. In the first step, for the poin…

math.PR2019★ 12 cited

Decorrelation of a class of Gibbs particle processes and asymptotic properties of U-statistics

Viktor Beneš, Christoph Hofer-Temmel, Günter Last +1

We study a stationary Gibbs particle process with deterministically bounded particles on Euclidean space defined in terms of an activity parameter and non-negative interaction pote…

math.ST2018

Estimation of geodesic tortuosity and constrictivity in stationary random closed sets

Matthias Neumann, Christian Hirsch, Jakub Staněk +2

We investigate the problem of estimating geodesic tortuosity and constrictivity as two structural characteristics of stationary random closed sets. They are of central importance f…

math.PR2017★ 1 cited

Gaussian approximation for functionals of Gibbs particle processes

Daniela Novotna, Viktor Benes

In the paper asymptotic properties of functionals of stationary Gibbs particle processes are derived. Two known techniques from the point process theory in the Euclidean space R^d…

math.ST2017

Planar segment processes with reference mark distributions, modeling and estimation

Viktor Benes, Jakub Vecera, Milan Pultar

The paper deals with planar segment processes given by a density with respect to the Poisson process. Parametric models involve reference distributions of directions and/or lengths…

math.PR2015

Approaches to asymptotics for U-statistics of Gibbs facet processes

Jakub Vecera, Viktor Benes

It is shown how the central limit theorem for U-statistics of spatial Poisson point processes can help to derive the central limit theorem for U-statistics of a Gibbs facet process…

math.PR2015★ 2 cited

Interaction processes for unions of facets, a limit behavior

Jakub Vecera, Viktor Benes

In the series of models with interacting particles in stochastic geometry, a new contribution presents the facet process which is defined in arbitrary Euclidean dimension. In 2D, 3…

math.PR2014★ 1 cited

Functionals of spatial point processes having a density with respect to the Poisson process

Viktor Benes, Marketa Zikmundova

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…