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Ing. Šárka Jozová, Ph.D.

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The information comes from the university database V3S.

Principal Investigator:
Ing. Šárka Jozová, Ph.D.
Co-Investigators:
doc. Ing. Ivan Nagy, CSc.; Ing. Miroslav Vaniš, Ph.D.
Annotation:
This project aims to extend the method of independent mixtures, which was solved within the SGS in 2020. During the development of the method, some other possible procedures for achieving better prediction results were identified. The aim of this project is to explore these procedures and show the benefits of these procedures on real discrete data.
Department:
Department of Applied Mathematics
Year:
2021 - 2021
Program:
Studentská grantová soutěž ČVUT - SGS21/077/OHK2/1T/16

Principal Investigator:
Ing. Šárka Jozová, Ph.D.
Co-Investigators:
doc. Ing. Ivan Nagy, CSc.; Ing. Miroslav Vaniš, Ph.D.
Annotation:
The grant aims at a prediction of an output variable based on input (explanatory) variables and a comparison with the current used prediction methods. All variables will be modelled by mixtures and an analysis of clustering will be also carried out. It will be possible to set up independences between variables in the clusters. This will certainly reduce dimensionality and the number of parameters necessary for prediction. The prediction obtained based on this approach will be then compared to the current discrete prediction methods.
Department:
Department of Applied Mathematics
Year:
2020 - 2020
Program:
Studentská grantová soutěž ČVUT - SGS20/080/OHK2/1T/16

Principal Investigator:
Ing. Šárka Jozová, Ph.D.
Co-Investigators:
doc. Ing. Ivan Nagy, CSc.; Ing. Miroslav Vaniš, Ph.D.
Annotation:
The main objective of this grant is to find an appropriate probability distribution for a real variable mainly from traffic data. The most accurate probability distribution will be categorical, in which relative frequencies determine the probability of a variable's value. However, this distribution has also some disadvantages: curse of dimensionality, the number of parameters of the distribution. The goal of this grant is to find some distribution which replace the categorical one. The presumed further research is to apply mixtures on the real variable.
Department:
Department of Applied Mathematics
Year:
2019 - 2019
Program:
Studentská grantová soutěž ČVUT - SGS19/078/OHK3/1T/16