Multifidelity Uncertainty Quantification Using Non-Intrusive Polynomial Chaos and Stochastic Collocation

By L. W. Ng, Michael S. Eldred. 2012

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Review of multi-fidelity models (2016, background): “In MF context PCE application can be found, for example, in Eldred, 2009 [48], Ng and Eldred, 2012 [122], Padrón et al.”
Survey of multifidelity methods in uncertainty propagation, inference, and optimization (2018, methodology): “The authors of [147] point out that an adaptive refinement of the discrepancy model is necessary because the complexity of the discrepancy between the high- and the lowfidelity model varies distinctly in the stochastic domain.”
Multi-fidelity Gaussian process regression for prediction of random fields (2017, unknown): “A multi-fidelity approach for minimizing the number of evaluations of expensive high-fidelity models was also proposed in [23], where the statistics of the high-fidelity model are computed based on realizations of a corrected low-fidelity surrogate.”