Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme
By Jonas Biehler, Michael W. Gee, Wolfgang A. Wall. 2014
102 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Mechanics of Materials, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Mechanics of Materials
- M. Giselle Fernández-Godino
- Rolf H. Krause
- Chanyoung Park
- Phaedon-Stelios Koutsourelakis
- Raphael T. Haftka
- Nam-Ho Kim
- F. Sonmez
In Statistics and Probability
- Nam-Ho Kim
- M. Giselle Fernández-Godino
- Chanyoung Park
- Phaedon-Stelios Koutsourelakis
- Raphael T. Haftka
- Joaquim R. Martins
- Marc-André Zöller
- Marco F. Huber
Citations in the corpus
- Fast uncertainty quantification of activation sequences in patient‐specific cardiac electrophysiology meeting clinical time constraints (2018, methodology): “As such, the evaluation of the low-fidelity model (25) is extremely inexpensive.”
- Review of multi-fidelity models (2016, methodology): “, 2013 [67], 2014 [22] and Fidkowski et al.”