Feasible Probabilistic Learning Method for Model-Form Uncertainty Quantification in Vibration Analysis
Author:
Affiliation:
1. Stanford University, Stanford, California 94305
2. U.S. Army Research Laboratory, Adelphi, 20783 Maryland
3. University of Paris-Est Marne-la-Vallee, 77454 Marne-la-Vallee, France
Funder
Defense Advanced Research Projects Agency
Army Research Laboratory
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Aerospace Engineering
Link
https://arc.aiaa.org/doi/am-pdf/10.2514/1.J057797
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1. Bayesian calibration of computer models
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