Zobrazeno 1 - 10
of 647
pro vyhledávání: '"Mrkvička"'
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
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
Autor:
Lackner, Marie-Louise, Mrkvicka, Christoph, Musliu, Nysret, Walkiewicz, Daniel, Winter, Felix
The Oven Scheduling Problem (OSP) is a new parallel batch scheduling problem that arises in the area of electronic component manufacturing. Jobs need to be scheduled to one of several ovens and may be processed simultaneously in one batch if they hav
Externí odkaz:
http://arxiv.org/abs/2203.12517
Autor:
Mrkvička, Tomáš, Myllymäki, Mari
Publikováno v:
Statistics and Computing 2023; 33, 109
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