221 citations · 306 across the 10 of their papers we have counts for
11 papers
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…
False discovery rate envelopes
Tomáš Mrkvička, Mari Myllymäki
False discovery rate (FDR) is a common way to control the number of false discoveries in multiple testing. There are a number of approaches available for controlling FDR. However,…
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…
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…
New methods for multiple testing in permutation inference for the general linear model
Tomas Mrkvicka, Mari Myllymaki, Mikko Kuronen +1
Permutation methods are commonly used to test significance of regressors of interest in general linear models (GLMs) for functional (image) data sets, in particular for neuroimagin…
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…