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- 1.0572100 - GFÚ 2024 RIV CH eng J - Journal Article
Sebastian, N. - Tkalčić, H. - Sippl, Christian - Kim, S. - Reading, A. M. - Chen, Y. - Fontaine, F. R.
The crust-mantle transition beneath Northeast China from P-wave receiver functions.
Frontiers in Earth Science. Roč. 11, May (2023), č. článku 1144819. E-ISSN 2296-6463
Institutional support: RVO:67985530
Keywords : receiver functions * Hierarchical Transdimensional Bayesian Inversion * crust-mantle transition * H-kappa stacking analysis * Northeast China Plain
OECD category: Volcanology
Impact factor: 2.9, year: 2022
Method of publishing: Open access
https://www.frontiersin.org/articles/10.3389/feart.2023.1144819/full
Permanent Link: https://hdl.handle.net/11104/0342932File Download Size Commentary Version Access Sebastian2023FrontiersEarthScience.pdf 2 4.2 MB Publisher’s postprint open-access - 2.0571878 - ÚGN 2024 RIV CZ eng C - Conference Paper (international conference)
Bérešová, Simona
Numerical realization of the Bayesian inversion accelerated using surrogate models.
Programs and Algorithms of Numerical Mathematics 21 : Proceedings of Seminar. Praha: Institute of Mathematics CAS Prague, 2023 - (Chleboun, J.; Kůs, P.; Papež, J.; Rozložník, M.; Segeth, K.; Šístek, J.), s. 25-36. ISBN 978-80-85823-73-8.
[Programs and Algorithms of Numerical Mathematics /21./. Jablonec nad Nisou (CZ), 19.06.2022-24.06.2022]
R&D Projects: GA TA ČR(CZ) TK02010118
Institutional support: RVO:68145535
Keywords : Bayesian inversion * delayed-acceptance Metropolis-Hastings * Markov chain Monte Carlo * surrogate model
OECD category: Applied mathematics
https://dml.cz/bitstream/handle/10338.dmlcz/703185/PANM_21-2022-1_6.pdf
Permanent Link: https://hdl.handle.net/11104/0342777File Download Size Commentary Version Access UGN_0571878.pdf 2 804.1 KB Other require - 3.0565076 - ÚGN 2023 CZ eng D - Thesis
Bérešová, Simona
Bayesian approach to the identification of parameters of differential equations.
Ústav geoniky AV ČR, v. v. i. Defended: Fakulta elektrotechniky a informatiky, VŠB-TUO. 09.06.2022. - Ostrava: VŠB - Technická univerzita Ostrava, 2022. 122 s.
Institutional support: RVO:68145535
Keywords : Bayesian inversion * deflated conjugate gradients * delayed-acceptance Metropolis-Hastings * Markov chain Monte Carlo * material parameter identification * surrogate model
OECD category: Statistics and probability
Permanent Link: https://hdl.handle.net/11104/0336621File Download Size Commentary Version Access UGN_0565076.pdf 2 7.8 MB Other open-access - 4.0556601 - ÚGN 2023 RIV CZ cze L4 - Software
Bérešová, Simona
SurrDAMH 1.0.
[SurrDAMH 1.0.]
Internal code: SurrDAMH 1.0 ; 2022
Technical parameters: Knihovna surrDAMH verze 1.0 slouží pro numerickou realizaci Bayesovské inverze pomocí metod Markov chain Monte Carlo.
Economic parameters: Knihovna surrDAMH verze 1.0
R&D Projects: GA TA ČR(CZ) TK02010118
EU Projects: European Commission(XE) 847593 - EURAD
Institutional support: RVO:68145535
Keywords : Bayesian inversion * Markov chain Monte Carlo * surrogate model
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://github.com/dom0015/surrDAMH/releases/tag/v1.0
Permanent Link: http://hdl.handle.net/11104/0330778 - 5.0543700 - ÚGN 2022 RIV CH eng C - Conference Paper (international conference)
Domesová, Simona - Béreš, Michal - Blaheta, Radim
Efficient Implementation of the Bayesian Inversion by MCMC with Acceleration of Posterior Sampling Using Surrogate Models.
Lecture Notes in Civil Engineering. Cham: Springer, 2021 - (Barla, M.; Di Donna, A.; Sterpi, D.), (2021), s. 846-853. ISBN 978-3-030-64513-7. ISSN 2366-2557.
[International Conference of the International Association for Computer Methods and Advances in Geomechanics /16./. Turin (IT), 05.05.2021-08.05.2021]
R&D Projects: GA TA ČR(CZ) TK02010118
EU Projects: European Commission(XE) 847593 - EURAD
Institutional support: RVO:68145535
Keywords : Bayesian inversion * posterior sampling * delayed acceptance Metropolis-Hastings algorithm * surrogate model * inverse problems in hydro-mechanics
OECD category: Applied mathematics
Method of publishing: Limited access
https://link.springer.com/chapter/10.1007%2F978-3-030-64514-4_91
Permanent Link: http://hdl.handle.net/11104/0320877File Download Size Commentary Version Access UGN_0543700_2.pdf 2 503.9 KB Author’s postprint open-access - 6.0537236 - ÚGN 2021 RIV CH eng C - Conference Paper (international conference)
Domesová, Simona
The use of radial basis function surrogate models for sampling process acceleration in Bayesian inversio.
Lecture Notes in Electrical Engineering. Vol. 554. Cham: Springer Nature Switzerland AG, 2020 - (Zelinka, I.; Brandstetter, P.; Trong Dao, T.; Hoang Duy, V.; Kim, S.), s. 228-238. ISBN 978-3-030-14906-2. ISSN 1876-1100. E-ISSN 1876-1119.
[International Conference on Advanced Engineering Theory and Applications 2018 /5./. Ostrava (CZ), 11.11.2018-13.11.2018]
R&D Projects: GA MŠMT LQ1602
Institutional support: RVO:68145535
Keywords : Bayesian inversion * Metropolis-Hastings * radial basis functions * surrogate model * uncertainty quantification
OECD category: Applied mathematics
https://link.springer.com/chapter/10.1007%2F978-3-030-14907-9_23
Permanent Link: http://hdl.handle.net/11104/0314976File Download Size Commentary Version Access UGN_0537236.pdf 1 528.6 KB Author’s postprint require - 7.0533163 - ÚGN 2021 RIV NL eng J - Journal Article
Blaheta, Radim - Béreš, Michal - Domesová, Simona - Horák, David
Bayesian inversion for steady flow in fractured porous media with contact on fractures and hydro mechanical coupling.
Computational Geosciences. Roč. 24, February 2020 (2020), s. 1911-1932. ISSN 1420-0597. E-ISSN 1573-1499
R&D Projects: GA ČR(CZ) GA19-11441S; GA MŠMT ED1.1.00/02.0070; GA MŠMT LQ1602
Institutional support: RVO:68145535
Keywords : porous media with fractures * coupled hydro-mechanics * Bayesian inversion * multi-dimensional flow model * contact mechanics on fractures
OECD category: Applied mathematics
Impact factor: 2.413, year: 2020
Method of publishing: Limited access
https://link.springer.com/article/10.1007/s10596-020-09935-8
Permanent Link: http://hdl.handle.net/11104/0311636File Download Size Commentary Version Access UGN_0533163.pdf 2 4.9 MB Publisher’s postprint require - 8.0495898 - ÚGN 2019 RIV CH eng C - Conference Paper (international conference)
Domesová, Simona - Béreš, Michal
A Bayesian Approach to the Identification Problem with Given Material Interfaces in the Darcy Flow.
High Performance Computing in Science and Engineering. HPCSE 2017. Cham: Springer, 2018 - (Kozubek, T.), s. 203-216. Lecture Notes in Computer Science, Code 216349, Volume 11087. ISBN 978-3-319-97135-3.
[HPCSE 2017: International Conference on High Performance Computing in Science and Engineering /3./. Karolinka (CZ), 22.05.2017-25.05.2017]
R&D Projects: GA MŠMT LQ1602; GA MŠMT LD15105
Institutional support: RVO:68145535
Keywords : Bayesian inversion * Darcy flow * identification problem * Metropolis-Hastings * posterior distribution
OECD category: Applied mathematics
https://link.springer.com/content/pdf/10.1007%2F978-3-319-97136-0_15.pdf
Permanent Link: http://hdl.handle.net/11104/0288772File Download Size Commentary Version Access UGN_0495898.pdf 2 957 KB Author’s postprint require