Tomás Mrkvicka

16 papers Journal 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Global test for covariate significance in quantile regression.
Stat. Comput.
Tomás Mrkvicka, Konstantinos Konstantinou, Mikko Kuronen, Mari Myllymäki
2025 J jnl
A nonparametric test of independence between the second-order structure of point patterns and covariates.
Stat. Comput.
Jonatan A. González, Jirí Dvorák, Tomás Mrkvicka, Jorge Mateu
2025 J jnl
The power of visualizing distributional differences: formal graphical n-sample tests.
Comput. Stat.
Konstantinos Konstantinou, Tomás Mrkvicka, Mari Myllymäki
2024 J jnl
GET: Global Envelopes in
J. Stat. Softw.
Mari Myllymäki, Tomás Mrkvicka
2024 J jnl
Nonparametric Testing of the Covariate Significance for Spatial Point Patterns under the Presence of Nuisance Covariates.
J. Comput. Graph. Stat.
Jirí Dvorák, Tomás Mrkvicka
2023 J jnl
False discovery rate envelopes.
Stat. Comput.
Tomás Mrkvicka, Mari Myllymäki
2022 J jnl
Graphical tests of independence for general distributions.
Comput. Stat.
Jirí Dvorák, Tomás Mrkvicka
2020 J jnl
A one-way ANOVA test for functional data with graphical interpretation.
Kybernetika
Tomás Mrkvicka, Mari Myllymäki, Milan Jílek, Ute Hahn
2020 J jnl
Functional outlier detection and taxonomy by sequential transformations.
Comput. Stat. Data Anal.
Wenlin Dai, Tomás Mrkvicka, Ying Sun, Marc G. Genton
2020 J jnl
Inference for cluster point processes with over- or under-dispersed cluster sizes.
Stat. Comput.
Claes Andersson, Tomás Mrkvicka
2017 J jnl
Multiple Monte Carlo testing, with applications in spatial point processes.
Stat. Comput.
Tomás Mrkvicka, Mari Myllymäki, Ute Hahn
2014 J jnl
Two step estimation for Neyman-Scott point process with inhomogeneous cluster centers.
Stat. Comput.
Tomás Mrkvicka, M. Muska, Jan Kubecka
2012 J jnl
Goodness-of-fit test of the mark distribution in a point process with non-stationary marks.
Stat. Comput.
Tomás Mrkvicka, Samuel Soubeyrand, Joël Chadoeuf
2011 J jnl
Spatial prediction of the mark of a location-dependent marked point process: how the use of a parametric model may improve prediction.
Kybernetika
Tomás Mrkvicka, François Goreaud, Joël Chadoeuf
2009 J jnl
On Estimation of Intrinsic Volume Densities of Stationary Random Closed Sets via Parallel Sets in the Plane.
Kybernetika
Tomás Mrkvicka, Jan Rataj
2009 J jnl
On Testing of General Random Closed Set Model Hypothesis.
Kybernetika
Tomás Mrkvicka