Tomás Mrkvicka

According to our database, Tomás Mrkvicka authored at least 15 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A nonparametric test of independence between the second-order structure of point patterns and covariates.

Jonatan A. González, Jirí Dvorák, Tomás Mrkvicka, Jorge Mateu

Stat. Comput., October, 2025

The power of visualizing distributional differences: formal graphical n-sample tests.

Konstantinos Konstantinou, Tomás Mrkvicka, Mari Myllymäki

Comput. Stat., June, 2025

2024

GET: Global Envelopes in <i>R</i>.

Mari Myllymäki, Tomás Mrkvicka

J. Stat. Softw., 2024

Nonparametric Testing of the Covariate Significance for Spatial Point Patterns under the Presence of Nuisance Covariates.

Jirí Dvorák, Tomás Mrkvicka

J. Comput. Graph. Stat., 2024

2023

False discovery rate envelopes.

Tomás Mrkvicka, Mari Myllymäki

Stat. Comput., October, 2023

2022

Graphical tests of independence for general distributions.

Jirí Dvorák, Tomás Mrkvicka

Comput. Stat., 2022

2020

Inference for cluster point processes with over- or under-dispersed cluster sizes.

Claes Andersson, Tomás Mrkvicka

Stat. Comput., 2020

A one-way ANOVA test for functional data with graphical interpretation.

Tomás Mrkvicka, Mari Myllymäki, Milan Jílek, Ute Hahn

Kybernetika, 2020

Functional outlier detection and taxonomy by sequential transformations.

Wenlin Dai, Tomás Mrkvicka, Ying Sun, Marc G. Genton

Comput. Stat. Data Anal., 2020

2017

Multiple Monte Carlo testing, with applications in spatial point processes.

Tomás Mrkvicka, Mari Myllymäki, Ute Hahn

Stat. Comput., 2017

2014

Two step estimation for Neyman-Scott point process with inhomogeneous cluster centers.

Tomás Mrkvicka, M. Muska, Jan Kubecka

Stat. Comput., 2014

2012

Goodness-of-fit test of the mark distribution in a point process with non-stationary marks.

Tomás Mrkvicka, Samuel Soubeyrand, Joël Chadoeuf

Stat. Comput., 2012

2011

Spatial prediction of the mark of a location-dependent marked point process: how the use of a parametric model may improve prediction.

Tomás Mrkvicka, François Goreaud, Joël Chadoeuf

Kybernetika, 2011

2009

On Estimation of Intrinsic Volume Densities of Stationary Random Closed Sets via Parallel Sets in the Plane.

Tomás Mrkvicka, Jan Rataj

Kybernetika, 2009

On Testing of General Random Closed Set Model Hypothesis.

Tomás Mrkvicka

Kybernetika, 2009