activity
20132026
most citedCausality in extremes of time series

6 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

math.PR2026

Mixing Properties of Random Laguerre Tessellations

Zbyněk Pawlas, Martina Švarc Petráková

In this paper, we study the random Laguerre tessellation, a weighted generalization of the Voronoi tessellation, generated by a general stationary marked point process. We first de…

cond-mat.mtrl-sci2022

Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation

I. Karafiátová, J. Møller, Z. Pawlas +3

The description of distributions related to grain microstructure helps physicists to understand the processes in materials and their properties. This paper presents a general stati…

math.ST2021★ 6 cited

Causality in extremes of time series

Juraj Bodik, Zbyněk Pawlas, Milan Paluš

Consider two stationary time series with heavy-tailed marginal distributions. We aim to detect whether they have a causal relation, that is, if a change in one causes a change in t…

math.PR2019

Limit theory for unbiased and consistent estimators of statistics of random tessellations

Daniela Flimmel, Zbyněk Pawlas, Joseph E. Yukich

We observe a realization of a stationary generalized weighted Voronoi tessellation of the d-dimensional Euclidean space within a bounded observation window. Given a geometric chara…

math.PR2013

Statistics for Poisson models of overlapping spheres

Daniel Hug, Günter Last, Zbyněk Pawlas +1

The paper considers the stationary Poisson Boolean model with spherical grains and proposes a family of nonparametric estimators for the radius distribution. These estimators are b…

math.ST2013★ 4 cited

Fractional absolute moments of heavy tailed distributions

Muneya Matsui, Zbynek Pawlas

Several convenient methods for calculation of fractional absolute moments are given with application to heavy tailed distributions. We use techniques of fractional differentiation…