Physics-guided mixture density networks for uncertainty quantification
Author:
Funder
National Aeronautics and Space Administration
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference61 articles.
1. An efficient analytical Bayesian method for reliability and system response updating based on Laplace and inverse first-order reliability computations;Guan;Reliab Eng Syst Saf,2012
2. A Bayes network approach to uncertainty quantification in hierarchically developed computational models;Urbina;Int J Uncertain Quantif,2012
3. Uncertainty quantification and reduction in aircraft trajectory prediction using Bayesian-Entropy information fusion;Wang;Reliab Eng Syst Saf,2021
4. Quantification of margins and uncertainties of complex systems in the presence of aleatoric and epistemic uncertainty;Urbina;Reliab Eng Syst Saf,2011
5. Lifetime distribution selection for complete and censored multi-level testing data and its influence on probability of failure estimates;He;Struct Multidiscip Optim,2020
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