Search results
- 1.0616467 - ÚTIA 2026 RIV NL eng J - Journal Article
Uglickich, Evženie - Nagy, Ivan
Poisson-based framework for predicting count data: Application to traffic counts in Prague areas.
Journal of Computational Science. Roč. 85, č. 1 (2025), č. článku 102534. ISSN 1877-7503. E-ISSN 1877-7511
R&D Projects: GA MŠMT 8A21009
Institutional support: RVO:67985556
Keywords : count data prediction * traffic counts * local Poisson regression * recursive Bayesian estimation of Poisson mixtures
OECD category: Statistics and probability
Impact factor: 3.1, year: 2023 ; AIS: 0.738, rok: 2023
Method of publishing: Limited access
Result website:
https://library.utia.cas.cz/separaty/2024/ZS/uglickich-0616467.pdf https://www.sciencedirect.com/science/article/pii/S1877750325000110?via%3Dihub
DOI: https://doi.org/10.1016/j.jocs.2025.102534
Permanent Link: https://hdl.handle.net/11104/0363515Research data: data1 - 2.0601671 - ÚTIA 2025 RIV PT eng C - Conference Paper (international conference)
Kuklišová Pavelková, Lenka - Belda, Květoslav
Identification of Piezoelectric Actuator Using Bayesian Approach and Neural Networks.
Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics (ICINCO 2024). Setubal: SCITEPRESS, 2024 - (Gini, G.; Precup, R.; Filev, D.), s. 591-599. ISBN 978-989-758-717-7. ISSN 2184-2809.
[International Conference on Informatics in Control, Automation and Robotics 2024 (ICINCO 2024) /21./. Porto (PT), 18.11.2024-20.11.2024]
R&D Projects: GA ČR(CZ) GC23-04676J
Institutional support: RVO:67985556
Keywords : Piezoceramic Actuator * Hammerstein Model * Bayesian Estimation * ARX Model * Physical Modelling * Euler–Bernoulli Beam Theory
OECD category: Automation and control systems
Result website:
https://library.utia.cas.cz/separaty/2024/AS/kuklisova-0601671.pdf https://www.scitepress.org/Link.aspx?doi=10.5220/0013011700003822
DOI: https://doi.org/10.5220/0013011700003822
Permanent Link: https://hdl.handle.net/11104/0359677 - 3.0600652 - ÚI 2025 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Vidnerová, Petra
On the Bayesian Interpretation of Robust Regression Neural Networks.
Artificial Neural Networks and Machine Learning – ICANN 2024. Proceedings Part I. Cham: Springer, 2024 - (Wand, M.; Malinovská, K.; Schmidhuber, J.; Tetko, I.), s. 30-40. Lecture Notes in Computer Science, 15016. ISBN 978-3-031-72331-5.
[ICANN 2024: International Conference on Artificial Neural Networks /33./. Lugano (CH), 17.09.2024-20.09.2024]
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : Bayesian estimation * Regularization * Regression * Neural networks * Robust estimation
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result website:
https://doi.org/10.1007/978-3-031-72332-2_3DOI: https://doi.org/10.1007/978-3-031-72332-2_3
Permanent Link: https://hdl.handle.net/11104/0357957 - 4.0597762 - ÚTIA 2025 RIV CZ eng A - Abstract
Molnárová, Soňa
Applicable Adaptive Discounted Fully Probabilistic Design of Decision Strategy.
The Stochastic and Physical Monitoring Systems 2024. Praha: CVUT, 2024.
[Stochastic and Physical Monitoring Systems 2024 (SPMS 2024) /15./. 20.06.2024-24.06.2024, Dobřichovice]
Grant - others:EU-COST(XE) CA21169
Institutional support: RVO:67985556
Keywords : Bayesian estimation * decision making * discounting * forgetting * probabilistic strategy design * supression of aproximate modelling impact
OECD category: Automation and control systems
Result website:
https://library.utia.cas.cz/separaty/2024/AS/molnarova-0597762.pdf
Permanent Link: https://hdl.handle.net/11104/0355752File Download Size Commentary Version Access 0597762.pdf 0 118.8 KB Publisher’s postprint open-access - 5.0583574 - ÚTIA 2024 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Kalina, Jan - Peštová, B.
On the Bayesian Interpretation of Penalized Statistical Estimators.
Artificial Intelligence and Soft Computing. 22nd International Conference, ICAISC 2023, Proceedings, Part 2. Cham: Springer, 2023 - (Rutkowski, L.; Scherer, R.; Korytkowski, M.; Pedrycz, W.; Tadeusiewicz, R.; Zurada, J.), s. 343-352. Lecture Notes in Computer Science, 14126. ISBN 978-3-031-42507-3.
[ICAISC 2023: International Conference on Artificial Intelligence and Soft Computing /22./. Zakopane (PL), 18.07.2023-22.07.2023]
Grant CEP: GA ČR GA21-05325S
Institucionální podpora: RVO:67985556
Klíčová slova: Bayesian estimation * regularization * penalization * robustness * regression
Obor OECD: Statistics and probability
Web výsledku:
http://library.utia.cas.cz/separaty/2023/SI/kalina-0583574.pdf
DOI: https://doi.org/10.1007/978-3-031-42508-0_31
Trvalý link: https://hdl.handle.net/11104/0351579 - 6.0579680 - ÚI 2024 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Kalina, Jan - Peštová, Barbora
On the Bayesian Interpretation of Penalized Statistical Estimators.
Artificial Intelligence and Soft Computing. 22nd International Conference, ICAISC 2023, Proceedings, Part 2. Cham: Springer, 2023 - (Rutkowski, L.; Scherer, R.; Korytkowski, M.; Pedrycz, W.; Tadeusiewicz, R.; Zurada, J.), s. 343-352. Lecture Notes in Computer Science, 14126. ISBN 978-3-031-42507-3.
[ICAISC 2023: International Conference on Artificial Intelligence and Soft Computing /22./. Zakopane (PL), 18.07.2023-22.07.2023]
Grant CEP: GA ČR GA21-05325S
Institucionální podpora: RVO:67985807
Klíčová slova: Bayesian estimation * regularization * penalization * robustness * regression
Obor OECD: Statistics and probability
Web výsledku:
https://doi.org/10.1007/978-3-031-42508-0_31DOI: https://doi.org/10.1007/978-3-031-42508-0_31
Trvalý link: https://hdl.handle.net/11104/0348492 - 7.0565542 - ÚI 2024 RIV SG eng M - Část monografie knihy
Kalina, Jan - Vidnerová, Petra - Soukup, Lubomír
Modern Approaches to Statistical Estimation of Measurements in the Location Model and Regression.
Handbook of Metrology and Applications. Singapore: Springer, 2022 - (Aswal, D.; Yadav, S.; Takatsuji, T.; Rachakonda, P.; Kumar, H.), s. 1-22. ISBN 978-981-19-1550-5
Grant CEP: GA ČR(CZ) GA22-02067S
Institucionální podpora: RVO:67985807 ; RVO:67985556
Klíčová slova: regression * measurement error * error propagation * robustness * Bayesian estimation
Obor OECD: Statistics and probability
Web výsledku:
https://dx.doi.org/10.1007/978-981-19-1550-5_125-1DOI: https://doi.org/10.1007/978-981-19-1550-5_125-1
Trvalý link: https://hdl.handle.net/11104/0337067 - 8.0548683 - ÚI 2022 RIV CZ cze J - Článek v odborném periodiku
Kalina, Jan - Soukup, Lubomír
Bayesovské odhady: přirozený nástroj pro využití apriorní informace.
[Bayesian estimates: tool for processing prior information.]
Informační bulletin České statistické společnosti. Roč. 32, č. 3 (2021), s. 3-15. ISSN 1210-8022
Grant CEP: GA ČR(CZ) GA19-05704S
Institucionální podpora: RVO:67985807 ; RVO:67985556
Klíčová slova: Bayesovské odhady * apriorní informace * předchozí měření * regularizace * Bayesian estimation * prior information * previous measurements * regularization
Obor OECD: Statistics and probability; Statistics and probability (UTIA-B)
Způsob publikování: Open access
Web výsledku:
https://www.statspol.cz/wp-content/uploads/2021/11/IB_3_2021.pdf
Trvalý link: http://hdl.handle.net/11104/0324733Název souboru Staženo Velikost Komentář Verze Přístup 0548683-afoa.pdf 4 304.2 KB volně online Vydavatelský postprint povolen - 9.0541889 - ÚI 2022 RIV US eng J - Článek v odborném periodiku
Erosheva, E. - Martinková, Patrícia - Lee, C. J.
When Zero May not be Zero: A Cautionary Note on the use of Inter-rater Reliability in Evaluating Grant Peer Review.
Journal of the Royal Statistical Society Series A-Statistics in Society. Roč. 184, č. 3 (2021), s. 904-919. ISSN 0964-1998. E-ISSN 1467-985X
Grant CEP: GA ČR(CZ) GA21-03658S
Institucionální podpora: RVO:67985807
Klíčová slova: Bayesian estimation * grant peer review * inter-rater reliability * maximum likelihood estimation * measurement * mixed-effects models
Obor OECD: Statistics and probability
Impakt faktor: 2.175, rok: 2021 ; AIS: 1.573, rok: 2021
Způsob publikování: Open access
Web výsledku:
http://dx.doi.org/10.1111/rssa.12681DOI: https://doi.org/10.1111/rssa.12681
Trvalý link: http://hdl.handle.net/11104/0319384Název souboru Staženo Velikost Komentář Verze Přístup 0541889-afin.pdf 6 566.5 KB OA CC BY NC Vydavatelský postprint povolen 0541889-aoa.pdf 1 567 KB OA CC Vydavatelský postprint povolen - 10.0539397 - ÚTIA 2022 RIV GB eng J - Článek v odborném periodiku
Kárný, Miroslav - Ruman, Marko
Mixture ratio modeling of dynamic systems.
International Journal of Adaptive Control and Signal Processing. Roč. 35, č. 5 (2021), s. 660-675. ISSN 0890-6327. E-ISSN 1099-1115
Grant CEP: GA MŠMT(CZ) LTC18075
Institucionální podpora: RVO:67985556
Klíčová slova: approximate Bayesian estimation * black-box dynamic model * data stream processing * universal approximation * mixture model * Kullback-Leibler divergence
Obor OECD: Automation and control systems
Impakt faktor: 3.369, rok: 2021 ; AIS: 0.523, rok: 2021
Způsob publikování: Omezený přístup
Web výsledku:
http://library.utia.cas.cz/separaty/2021/AS/karny-0539397.pdf https://onlinelibrary.wiley.com/doi/full/10.1002/acs.3219
DOI: https://doi.org/10.1002/acs.3219
Trvalý link: http://hdl.handle.net/11104/0317312