Framework for Quantification and Risk Analysis for Layered Uncertainty using Optimization: NASA UQ Challenge
Author:
Affiliation:
1. University of Florida, Gainesville
Publisher
American Institute of Aeronautics and Astronautics
Link
http://arc.aiaa.org/doi/pdf/10.2514/6.2014-1498
Reference26 articles.
1. The NASA Langley Multidisciplinary Uncertainty Quantification Challenge
2. Challenge problems: uncertainty in system response given uncertain parameters
3. A Mathematical Theory of Evidence
4. Optimization Based Algorithms for Uncertainty Propagation Through Functions With Multidimensional Output Within Evidence Theory
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2. Uncertainty Reduction using Bayesian Inference and Sensitivity Analysis: A Sequential Approach to the NASA Langley Uncertainty Quantification Challenge;18th AIAA Non-Deterministic Approaches Conference;2016-01-01
3. Sensitivity Analysis Methods for Systems with Epistemic Uncertainties;17th AIAA Non-Deterministic Approaches Conference;2015-01-02
4. Sequential Refinement of Uncertainty Through Bayesian Inference and Global Sensitivity Analysis;Journal of Aerospace Information Systems;2015-01
5. NASA Uncertainty Quantification Challenge: An Optimization-Based Methodology and Validation;Journal of Aerospace Information Systems;2015-01
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