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- 1.0565076 - 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