221 citations · 306 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
A nonparametric graphical tests of significance in functional GLM
Tomas Mrkvicka, Tomas Roskovec, Michael Rost
A new nonparametric graphical test of significance of a covariate in functional GLM is proposed. Our approach is especially interesting due to its functional graphical interpretati…