References

• 2011A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing810 cited
• 2002Error and uncertainty in modeling and simulation629 cited
• 2008Computational methods in optimization considering uncertainties – An overview573 cited
• 2011Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles516 cited
• 2008An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data494 cited
• 2004Polynomial Chaos Expansion with Latin Hypercube Sampling for Estimating Response Variability218 cited
• 2014Multifidelity approaches for optimization under uncertainty198 cited
• 2015Enhancing ℓ1 -minimization estimates of polynomial chaos expansions using basis selection174 cited
• 2019A Tutorial on Bayesian Inference to Identify Material Parameters in Solid Mechanics153 cited
• 2010A Stochastic Collocation Method for Uncertainty Quantification and Propagation in Cardiovascular Simulations146 cited
• 2018A dimension-wise method and its improvement for multidisciplinary interval uncertainty analysis114 cited
• 2014Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme99 cited
• 2018Identifying elastoplastic parameters with Bayes’ theorem considering output error, input error and model uncertainty97 cited