Bayesian inference for random field parameters with a goal-oriented quality control of the PGD forward model's accuracy

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Title:: Bayesian inference for random field parameters with a goal-oriented quality control of the PGD forward model's accuracy
Document type:: Zeitschriftenaufsatz
Author(s):: Coelho Lima, Isabela ; Robens-Radermacher, Annika ; Titscher, Thomas ; Kadoke, Daniel ; Koutsourelakis, Phaedon-Stelios ; Unger, Jörg F.
Keywords:: Original Paper ; Variational inference ; Proper Generalized Decomposition ; Goal-oriented ; Digital twin ; Random field ; Mathematical Sciences
Journal title:: Computational Mechanics
Year:: 2022
Journal volume:: 70
Journal issue:: 6
Pages contribution:: 1189-1210
Fulltext / DOI:: doi:10.1007/s00466-022-02214-6
Publisher:: Springer Berlin Heidelberg
E-ISSN:: 0178-7675 ; 1432-0924
Date of publication:: 18.08.2022
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