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Uncertainty quantification with experimental data and complex system models
0 references·14 citing·47 second hop
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  • 2017Shared low-dimensional subspaces for propagating kinetic uncertainty to multiple outputs58 cited
  • 2016Inverse regression-based uncertainty quantification algorithms for high-dimensional models: Theory and practice51 cited
  • 2017High dimensional structural reliability with dimension reduction51 cited
  • 2021A unified approach for global sensitivity analysis based on active subspace and Kriging36 cited
  • 2023Uncertainty quantification in low-probability response estimation using sliced inverse regression and polynomial chaos expansion29 cited
  • 2021A recursive dimension-reduction method for high-dimensional reliability analysis with rare failure event27 cited
  • 2015Discovering a one-dimensional active subspace to quantify multidisciplinary uncertainty in satellite system design27 cited
  • 2016Multidisciplinary Optimization Under High-Dimensional Uncertainty for Small Satellite System Design22 cited
  • 2022A feature mapping strategy of metamodelling for nonlinear stochastic dynamical systems with low to high-dimensional input uncertainties20 cited
  • 2019Active subspace analysis and uncertainty quantification for a polydomain ferroelectric phase-field model10 cited
  • 2016Active subspace approach to reliability and safety assessments of small satellite separation10 cited
  • 2019A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness8 cited

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  • 2020A generalized active subspace for dimension reduction in mixed aleatory-epistemic uncertainty quantification6 cited
  • 2017Chance-Constrained Optimization Approach Based on Density Matching and Active Subspaces5 cited