Zobrazeno 1 - 10
of 191
pro vyhledávání: '"Mrkvička, Tomáš"'
This paper answers the question of which functional depth to use to construct a boxplot for functional data. It shows that integrated depths, e.g., the popular modified band depth, do not result in well-defined boxplots. Instead, we argue that infima
Externí odkaz:
http://arxiv.org/abs/2409.18603
Classical tests are available for the two-sample test of correspondence of distribution functions. From these, the Kolmogorov-Smirnov test provides also the graphical interpretation of the test results, in different forms. Here, we propose modificati
Externí odkaz:
http://arxiv.org/abs/2403.01838
Quantile regression is used to study effects of covariates on a particular quantile of the data distribution. Here we are interested in the question whether a covariate has any effect on the entire data distribution, i.e., on any of the quantiles. To
Externí odkaz:
http://arxiv.org/abs/2309.04746
Autor:
Dvořák, Jiří, Mrkvička, Tomáš
Determining the relevant spatial covariates is one of the most important problems in the analysis of point patterns. Parametric methods may lead to incorrect conclusions, especially when the model of interactions between points is wrong. Therefore, w
Externí odkaz:
http://arxiv.org/abs/2210.05424
The Neyman-Scott point process is a widely used point process model which is easily interpretable and easily extendable to include various types of inhomogeneity. The inference for such complex models is then complicated and fast methods, such as min
Externí odkaz:
http://arxiv.org/abs/2205.07946
Publikováno v:
Moravian Geographical Reports, Vol 31, Iss 2, Pp 64-72 (2023)
Motorcycle users are generally perceived as one of the most vulnerable road user groups. It is therefore evident that, in addition to a range of prevention and awareness-raising activities, it is also necessary to identify specific locations where mo
Externí odkaz:
https://doaj.org/article/e71bdb6f379e4fac9f28565d9a70486c
Autor:
Mrkvička, Tomáš, Myllymäki, Mari
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, for functional test statistics, which are discretized into $m$ highly
Externí odkaz:
http://arxiv.org/abs/2008.10108
Autor:
Myllymäki, Mari, Mrkvička, Tomáš
This study presents a simulation study to compare different non-parametric global envelopes that are refinements of the rank envelope proposed by Myllym\"aki et al. (2017, Global envelope tests for spatial processes, J. R. Statist. Soc. B 79, 381-404
Externí odkaz:
http://arxiv.org/abs/2008.09650
Autor:
Dvořák, Jiří, Mrkvička, Tomáš
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: continuous, discrete or mixture of those, with light tails or heavy tails, \ld
Externí odkaz:
http://arxiv.org/abs/2008.06327