activity
20192022
most citedRevisiting the random shift approach for testing in spatial statistics

14 citations · 31 across the 7 of their papers we have counts for

collaborators

7 papers

astro-ph.SR2022

Iterative construction of the optimal sunspot number series

Michal Švanda, Martina Pavelková, Jiří Dvořák +1

The relative number of sunspots represents the longest evidence describing the level of solar activity. As such, its use goes beyond solar physics, e.g. towards climate research. T…

stat.ME2020★ 1 cited

Testing the first-order separability hypothesis for spatio-temporal point patterns

Mohammad Ghorbani, Nafiseh Vafaei, Jiří Dvořák +1

First-order separability of a spatio-temporal point process plays a fundamental role in the analysis of spatio-temporal point pattern data. While it is often a convenient assumptio…

stat.ME2020★ 1 cited

Graphical tests of independence for general distributions

Jiří Dvořák, Tomáš Mrkvička

We propose two model-free, permutation-based tests of independence between a pair of random variables. The tests can be applied to samples from any bivariate distribution: continuo…

stat.ME2020★ 4 cited

Nonparametric testing of the dependence structure among points-marks-covariates in spatial point patterns

Jiří Dvořák, Tomáš Mrkvička, Jorge Mateu +1

We investigate testing of the hypothesis of independence between a covariate and the marks in a marked point process. It would be rather straightforward if the (unmarked) point pro…

stat.ME2019★ 14 cited

Revisiting the random shift approach for testing in spatial statistics

Tomas Mrkvicka, Jiri Dvorak, Jonatan A. Gonzalez +1

We consider the problem of non-parametric testing of independence of two components of a stationary bivariate spatial process. In particular, we revisit the random shift approach t…

math.ST2019★ 9 cited

Illumination depth

Stanislav Nagy, Jiří Dvořák

The concept of illumination bodies studied in convex geometry is used to amend the halfspace depth for multivariate data. The proposed notion of illumination enables finer resoluti…

math.ST2019★ 2 cited

Quick inference for log Gaussian Cox processes with non-stationary underlying random fields

Jiří Dvořák, Jesper Møller, Tomáš Mrkvička +1

For point patterns observed in natura, spatial heterogeneity is more the rule than the exception. In numerous applications, this can be mathematically handled by the flexible class…