Publications

Martina Chvosteková

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Publications in 2023:
  • DVUREČENSKIJ, Andrej** – CHVOSTEKOVÁ, Martina – GOGOLA, Daniel. Classification of cyclists and pedestrians data measured by LiDAR sensor. In ODAM 2023 – Olomoucian Days of Applied Mathematics : Book of Abstracts. – Olomouc, Czech Republic : Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacký University Olomouc, 2023, p. 22. Dostupné na internete: https://odam.upol.cz/soubory/ODAM_2023_Book_of_abstracts.pdf Typ: GHG
  • CHVOSTEKOVÁ, Martina. A difference between an optimal parameter set for a statistical inferring of directionality of coupling for stochastic and chaotic deterministic systems based on information theory. In Proceedings of the 14th International Conference on Measurement. 1. vyd. – Bratislava : Institute of Measurement Science, SAS, 2023, 2023, p. 23-26. ISBN 978-80-972629-7-6. Dostupné na: https://doi.org/10.23919/MEASUREMENT59122.2023.10164466 (VEGA č. 2/0023/22 : Causal analysis of measured signals and time series. VEGA č. 2/0096/21 : Probability distributions and their applications in modelling and testing) Typ: ADNB
  • CHVOSTEKOVÁ, Martina. Inadequacy of the Liang information flow for causal analysis. In Proceedings of the 14th International Conference on Measurement. 1. vyd. – Bratislava : Institute of Measurement Science, SAS, 2023, 2023, p. 96-99. ISBN 978-80-972629-7-6. Dostupné na: https://doi.org/10.23919/MEASUREMENT59122.2023.10164449 (VEGA č. 2/0023/22 : Causal analysis of measured signals and time series. VEGA č. 2/0096/21 : Probability distributions and their applications in modelling and testing. APVV-21-0216 : Advanced mathematical and statistical methods for measurement and metrology) Typ: ADNB
  • CHVOSTEKOVÁ, Martina. Estimation and significance testing of Rényi tranfer entropy. In ODAM 2023 – Olomoucian Days of Applied Mathematics : Book of Abstracts. – Olomouc, Czech Republic : Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacký University Olomouc, 2023, p. 35. Dostupné na internete: https://odam.upol.cz/soubory/ODAM_2023_Book_of_abstracts.pdf Typ: GHG
  • JAKUBÍK, Jozef** – PHUONG, M. – CHVOSTEKOVÁ, Martina – KRAKOVSKÁ, Anna. Against the flow of time with multi-output models. In Measurement Science Review, 2023, vol. 23, no. 4, p. 175-183. (2022: 0.9 – IF, Q4 – JCR, 0.306 – SJR, Q3 – SJR). ISSN 1335-8871. Dostupné na: https://doi.org/10.2478/msr-2023-0023 (APVV-21-0216 : Advanced mathematical and statistical methods for measurement and metrology. VEGA č. 2/0096/21 : Probability distributions and their applications in modelling and testing. VEGA č. 2/0023/22 : Causal analysis of measured signals and time series) Typ: ADDA
  • KRAKOVSKÁ, Anna** – CHVOSTEKOVÁ, Martina. Simple correlation dimension estimator and its use to detect causality. In Chaos, Solitons and Fractals, 2023, vol. 175, art. no. 113975. (2022: 7.8 – IF, Q1 – JCR, 1.393 – SJR, Q1 – SJR). ISSN 0960-0779. Dostupné na: https://doi.org/10.1016/j.chaos.2023.113975 (VEGA č. 2/0023/22 : Causal analysis of measured signals and time series. APVV-21-0216 : Advanced mathematical and statistical methods for measurement and metrology) Typ: ADCA
  • KRAKOVSKÁ, Anna** – ROŠŤÁKOVÁ, Zuzana – CHVOSTEKOVÁ, Martina – MASLÍKOVÁ, Jana. Do scalp EEG measurements allow causal inference? In Proceedings of the 14th International Conference on Measurement. 1. vyd. – Bratislava : Institute of Measurement Science, SAS, 2023, 2023, p. 92-95. ISBN 978-80-972629-7-6. Dostupné na: https://doi.org/10.23919/MEASUREMENT59122.2023.10164378 (VEGA č. 2/0023/22 : Causal analysis of measured signals and time series. APVV-21-0216 : Advanced mathematical and statistical methods for measurement and metrology) Typ: ADNB