Search results
- 1.0585434 - ÚI 2025 eng V - Research Report
Dimai, M. - Brabec, Marek
A Bayesian Model for Age at Death with Cohort Effects.
Social Science Research Network, 2024. 34 s. SSRN Papers, 4763050.
Institutional support: RVO:67985807
Keywords : mortality * age at death * mixture model * cohort effects * bayesian
https://doi.org/10.2139/ssrn.4763050
Permanent Link: https://hdl.handle.net/11104/0353143 - 2.0585138 - ÚI 2025 US eng J - Journal Article
Bartoš, František - Maier, M. - Wagenmakers, J. E. - Nippold, F. - Doucouliagos, H. - Ioannidis, J. P. A. - Otte, W. M. - Sladekova, M. - Deresssa, T. K. - Bruns, S. B. - Fanelli, D. - Stanley, T. D.
Footprint of publication selection bias on meta-analyses in medicine, environmental sciences, psychology, and economics.
Research Synthesis Methods. Online 07 February 2024 (2024). ISSN 1759-2879. E-ISSN 1759-2887
Institutional support: RVO:67985807
Keywords : Bayesian * effect sizes * evidence * meta-analysis * model-averaging * publication bias * RoBMA
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 9.8, year: 2022
Method of publishing: Open access
https://doi.org/10.1002/jrsm.1703
Permanent Link: https://hdl.handle.net/11104/0352876File Download Size Commentary Version Access 0585138-aonloa.pdf 0 1.6 MB OA CC BY 4.0 Publisher’s postprint open-access - 3.0583574 - ÚTIA 2024 RIV CH eng C - Conference Paper (international conference)
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]
R&D Projects: GA ČR GA21-05325S
Institutional support: RVO:67985556
Keywords : Bayesian estimation * regularization * penalization * robustness * regression
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2023/SI/kalina-0583574.pdf
Permanent Link: https://hdl.handle.net/11104/0351579 - 4.0581947 - NHU-C 2024 CZ eng D - Thesis
Senkov, Maxim
Essays in strategic information provision.
Prague: Charles University, CERGE, 2023. 160 s.
R&D Projects: GA ČR(CZ) GA20-27630S
Grant - others:UK(CZ) GAUK 323221
Institutional support: Cooperatio-COOP
Keywords : rational inattention * Bayesian persuasion * state-pooling
Subject RIV: AH - Economics
https://www.cerge-ei.cz/pdf/dissertations/Dissertation_Final_Senkov.pdf
Permanent Link: https://hdl.handle.net/11104/0350084 - 5.0581903 - ÚTIA 2024 RIV US eng J - Journal Article
Vomlel, Jiří - Kratochvíl, Václav - Kratochvíl, F.
Structural learning of mixed noisy-OR Bayesian networks.
International Journal of Approximate Reasoning. Roč. 161, č. 1 (2023), č. článku 108990. ISSN 0888-613X. E-ISSN 1873-4731
R&D Projects: GA ČR GA20-18407S
Institutional support: RVO:67985556
Keywords : Bayesian networks * Learning Bayesian networks * Linguistics * Loanwords
OECD category: Communication engineering and systems
Impact factor: 3.9, year: 2022
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2024/MTR/vomlel-0581903.pdf https://www.sciencedirect.com/science/article/pii/S0888613X23001214?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0350580 - 6.0580629 - ÚI 2025 RIV GB eng J - Journal Article
Hůnová, I. - Brabec, Marek - Malý, Marek
Major ions in Central European precipitation – Insight into changes in NO3−/SO42−, NH4+/NO3− and NH4+/SO42− ratios over the last four decades.
Chemosphere. Roč. 349, February 2024 (2024), č. článku 140986. ISSN 0045-6535. E-ISSN 1879-1298
R&D Projects: GA TA ČR(CZ) SS02030031
Institutional support: RVO:67985807
Keywords : Precipitation chemistry * Czech Republic * Time trends * Ion concentrations * INLA * Bayesian modelling
OECD category: Statistics and probability
Impact factor: 8.8, year: 2022
Method of publishing: Limited access
Permanent Link: https://hdl.handle.net/11104/0349397 - 7.0580425 - ÚI 2024 RIV US eng A - Abstract
Bartoš, František - Martinková, Patrícia - Brabec, Marek
Bayesian location-scale model for assessing reliability differences with ordinal ratings.
IMPS 2023: Abstract Book: Talks. Psychometric Society, 2023. s. 88-88.
[IMPS 2023: International Meeting of the Psychometric Society. 23.07.2023-28.07.2023, Washington DC]
R&D Projects: GA ČR(CZ) GA21-03658S
Institutional support: RVO:67985807
Keywords : reliability * ordinal ratings * Bayesian location-scale model
OECD category: Statistics and probability
https://www.psychometricsociety.org/sites/main/files/file-attachments/imps2023-abstracts.pdf
Permanent Link: https://hdl.handle.net/11104/0349214 - 8.0579691 - ÚI 2024 RIV DE eng C - Conference Paper (international conference)
Pérez, Ivan - Vomlel, J.
On Identifiability of BN2A Networks.
Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2023.. Cham: Springer, 2023 - (Bouraoui, Z.; Vesic, S.), s. 136-148. Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, 14294. ISBN 978-3-031-45607-7.
[ECSQARU 2023: European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty /23./. Arras (FR), 19.09.2023-22.09.2023]
R&D Projects: GA ČR(CZ) GA21-03658S; GA ČR(CZ) GA22-11101S
Institutional support: RVO:67985807
Keywords : Bayesian networks * BN2A networks * Cognitive Diagnostic Modeling * Psychometrics * Model Identifiability
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://doi.org/10.1007/978-3-031-45608-4_11
Permanent Link: https://hdl.handle.net/11104/0348500 - 9.0579680 - ÚI 2024 RIV CH eng C - Conference Paper (international conference)
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]
R&D Projects: GA ČR GA21-05325S
Institutional support: RVO:67985807
Keywords : Bayesian estimation * regularization * penalization * robustness * regression
OECD category: Statistics and probability
https://doi.org/10.1007/978-3-031-42508-0_31
Permanent Link: https://hdl.handle.net/11104/0348492 - 10.0579189 - SOÚ 2024 RIV GB eng J - Journal Article
Raudenská, Petra
Single-item measures of happiness and life satisfaction: the issue of cross-country invariance of popular general well-being measures.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS. Roč. 10, November (2023), č. článku 861. E-ISSN 2662-9992
R&D Projects: GA ČR(CZ) GA22-09220S
Institutional support: RVO:68378025
Keywords : happiness * life satisfaction * single item * measurement invariance * large-scale sample survey * Bayesian analysis
OECD category: Sociology
Impact factor: 3.5, year: 2022
Method of publishing: Open access
https://www.nature.com/articles/s41599-023-02299-1
Permanent Link: https://hdl.handle.net/11104/0348040File Download Size Commentary Version Access J_Raudenska_Single-item measures.pdf 1 1.8 MB Publisher’s postprint open-access