Search results
- 1.0578518 - ÚI 2025 DE eng J - Journal Article
Bodík, Juraj - Paluš, Milan - Pawlas, Z.
Causality in extremes of time series.
Extremes. Roč. 27, č. 1 (2024), s. 67-121. ISSN 1386-1999. E-ISSN 1572-915X
R&D Projects: GA ČR(CZ) GA19-16066S
Grant - others:AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institutional support: RVO:67985807
Keywords : Granger causality * Causal inference * Nonlinear time series * Causality-in-tail * Extreme value theory * Heavy tails
Impact factor: 1.3, year: 2022
Method of publishing: Open access
https://doi.org/10.1007/s10687-023-00479-5
Permanent Link: https://hdl.handle.net/11104/0347507 - 2.0573674 - ÚI 2024 RIV SK eng C - Conference Paper (international conference)
Hlaváčková-Schindler, Kateřina - Pacher, C. - Plant, C. - Lazarenko, M. - Paluš, Milan - Hlinka, Jaroslav - Kathpalia, Aditi - Brunovský, M.
Pattern Discovery in an EEG Database of Depression Patients: Preliminary Results.
2023 14th International Conference on Measurement. Proceedings. Bratislava: Institute of Measurement Science, SAS / IEEE, 2023 - (Dvurečenskij, A.; Maňka, J.; Švehlíková, J.; Witkovský, V.), s. 80-83. ISBN 979-8-3503-1218-8.
[MEASUREMENT 2023: International Conference on Measurement /14./. Smolenice (SK), 29.05.2023-31.05.2023]
R&D Projects: GA ČR(CZ) GF21-14727K
Institutional support: RVO:67985807
Keywords : Major Depressive Disorder * Interactive Clustering * Granger Causality * Classification Methods
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.23919/MEASUREMENT59122.2023.10164584
Permanent Link: https://hdl.handle.net/11104/0344055 - 3.0572210 - ÚI 2024 RIV US eng J - Journal Article
Kathpalia, Aditi - Nagaraj, N.
Granger causality for compressively sensed sparse signals.
Physical Review E. Roč. 107, č. 3 (2023), č. článku 034308. ISSN 2470-0045. E-ISSN 2470-0053
R&D Projects: GA ČR(CZ) GA19-16066S
Grant - others:AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institutional support: RVO:67985807
Keywords : Granger causality * compressed sensing * sparse signals * circulant * toeplitz * structured sensing matrices * neural spike train
OECD category: Applied mathematics
Impact factor: 2.4, year: 2022
Method of publishing: Limited access
https://dx.doi.org/10.1103/PhysRevE.107.034308
Permanent Link: https://hdl.handle.net/11104/0342984
Research data: Preprint - ArXiv.org - 4.0569861 - ÚI 2023 RIV US eng C - Conference Paper (international conference)
Jalaldoust, A. - Hlaváčková-Schindler, Kateřina - Plant, C.
Causal Discovery in Hawkes Processes by Minimum Description Length.
Proceedings of the 36th AAAI Conference on Artificial Intelligence. Palo Alto: AAAI Press, 2022, s. 6978-6987. Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 36 No. 6: AAAI-22 Technical Tracks 6. ISBN 978-1-57735-876-3. ISSN 2159-5399. E-ISSN 2374-3468.
[The AAAI Conference on Artificial Intelligence /36./. Online (US), 22.02.2022-01.03.2022]
R&D Projects: GA ČR(CZ) GA19-16066S
Institutional support: RVO:67985807
Keywords : Granger causality * minimum description length principle * probability distributions * Hawkes process
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://ojs.aaai.org/index.php/AAAI/article/view/20656/20415
Permanent Link: https://hdl.handle.net/11104/0341202 - 5.0561396 - ÚTIA 2023 RIV CN eng J - Journal Article
Shahzad, S. J. H. - Bouri, E. - Krištoufek, Ladislav - Saeed, T.
Impact of the COVID‐19 outbreak on the US equity sectors: Evidence from quantile return spillovers.
Financial Innovation. Roč. 7, č. 1 (2021), č. článku 14. E-ISSN 2199-4730
R&D Projects: GA ČR GA20-17295S
Institutional support: RVO:67985556
Keywords : Quantile return spillovers * US equity sector indices * COVID-19 outbreak * Granger causality * Global risk aversion
OECD category: Economic Theory
Impact factor: 6.793, year: 2021
Method of publishing: Open access
http://library.utia.cas.cz/separaty/2022/E/kristoufek-0561396.pdf https://jfin-swufe.springeropen.com/articles/10.1186/s40854-021-00228-2
Permanent Link: https://hdl.handle.net/11104/0334059 - 6.0554060 - ÚI 2022 RIV NL eng A - Abstract
Pidnebesna, Anna - Jiříček, Stanislav - Koudelka, V. - Vlček, Kamil - Šanda, Pavel - Hammer, J. - Hlinka, Jaroslav
Detection of visual information processing regions from high-density EEG data.
Journal of Computational Neuroscience. Roč. 49, Suppl. 1 (2021), S89-S90. ISSN 0929-5313. E-ISSN 1573-6873
R&D Projects: GA ČR(CZ) GA19-11753S
Institutional support: RVO:67985807 ; RVO:67985823
Keywords : high-density EEG * information flow * Granger causality * visual processing
OECD category: Neurosciences (including psychophysiology; Neurosciences (including psychophysiology (FGU-C)
Permanent Link: http://hdl.handle.net/11104/0328684 - 7.0548093 - ÚI 2022 RIV GB eng J - Journal Article
Chvosteková, Martina - Krakovská, A.
Letter to the editor of Heliyon re: Grassmann, G. „New considerations on the validity of the Wiener-Granger causality test” [Heliyon 6 (2020) e05208].
Heliyon. Roč. 7, č. 9 (2021), č. článku e07948. ISSN 2405-8440. E-ISSN 2405-8440
Grant - others:AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institutional support: RVO:67985807
Keywords : Granger causality * Linear prediction * Model assumptions * Reversed time series
OECD category: Applied mathematics
Impact factor: 3.776, year: 2021
Method of publishing: Open access
Permanent Link: http://hdl.handle.net/11104/0324209File Download Size Commentary Version Access 0548093-aoa.pdf 4 174.4 KB OA CC BY 4.0 Publisher’s postprint open-access - 8.0545373 - ÚI 2022 GB eng J - Journal Article
Kathpalia, Aditi - Nagaraj, N.
Data-based intervention approach for Complexity-Causality measure.
PeerJ Computer Science. Roč. 2019, č. 5 (2019), č. článku e196. ISSN 2376-5992. E-ISSN 2376-5992
Keywords : granger causality * entropy * Causality * Causal inference * Intervention * Compression-complexity * Model-based * Dynamical complexity * Negative causality
Impact factor: 3.091, year: 2019
Permanent Link: http://hdl.handle.net/11104/0322080 - 9.0545370 - ÚI 2022 IN eng J - Journal Article
Kathpalia, Aditi - Nagaraj, N.
Measuring Causality The Science of Cause and Effect.
Resonance-Journal of Science Education. Roč. 26, č. 2 (2021), s. 191-210. ISSN 0971-8044. E-ISSN 0973-712X
Keywords : Causality * correlation * ladder of causation * Granger causality * model-based causality
Permanent Link: http://hdl.handle.net/11104/0322078 - 10.0542818 - ÚI 2022 RIV CH eng J - Journal Article
Gupta, Kajari - Paluš, Milan
Cross-Scale Causality and Information Transfer in Simulated Epileptic Seizures.
Entropy. Roč. 23, č. 5 (2021), č. článku 526. E-ISSN 1099-4300
R&D Projects: GA ČR(CZ) GA19-16066S
Grant - others:AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institutional support: RVO:67985807
Keywords : multiscale dynamics * interactions * Granger causality * information transfer * epilepsy model
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 2.738, year: 2021
Method of publishing: Open access
Permanent Link: http://hdl.handle.net/11104/0320153File Download Size Commentary Version Access 0542818-aoa.pdf 7 913.8 KB OA CC BY 4.0 Publisher’s postprint open-access