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Bounds optimization of model response moments: a twin-engine Bayesian active learning method
16 references·2 citing·43 second hop
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References

  • 2008Aleatory or epistemic? Does it matter?2,450 cited
  • 2015The generalization of Latin hypercube sampling656 cited
  • 2015Variable importance analysis: A comprehensive review526 cited
  • 2013Imprecise probabilities in engineering analyses505 cited
  • 2012Entropy search for information-efficient global optimization456 cited
  • 2004Uncertainty quantification using evidence theory in multidisciplinary design optimization324 cited
  • 2010Interval Monte Carlo methods for structural reliability224 cited
  • 2019Recent Trends in the Modeling and Quantification of Non-probabilistic Uncertainty213 cited
  • 2014Advanced Line Sampling for efficient robust reliability analysis212 cited
  • 2010Representation of analysis results involving aleatory and epistemic uncertainty156 cited
  • 2012Structural reliability analysis on the basis of small samples: An interval quasi-Monte Carlo method155 cited
  • 2009Do Rosenblatt and Nataf isoprobabilistic transformations really differ?149 cited
  • 2011Hybrid probabilistic interval analysis of bar structures with uncertainty using a mixed perturbation Monte-Carlo method140 cited
  • 2000Sequential design of computer experiments to minimize integrated response functions135 cited
  • 2016

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Measuring reliability under epistemic uncertainty: Review on non-probabilistic reliability metrics
132 cited
  • 2008Representation of analysis results involving aleatory and epistemic uncertainty.123 cited
  • Cited by

    • 2023Collaborative and Adaptive Bayesian Optimization for bounding variances and probabilities under hybrid uncertainties15 cited
    • 2022A new Bayesian probabilistic integration framework for hybrid uncertainty propagation10 cited