Introduction to Uncertainty Quantification

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Simulator-free solution of high-dimensional stochastic elliptic partial differential equations using deep neural networks (2019, background): “Answering this question is at the heart of research efforts in the field of uncertainty quantification (UQ) [3, 4].”
The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020, unknown): “For brevity, we do not summarize this rich history, referring to Saltelli et al. (2008), Sullivan (2015), Borgonovo (2017) and to the ‘handbook of uncertainty quantification ’ by Ghanem et al. (2017).”
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification (2018, background): “the uncertainties in model inputs on the quality of the model predictions? Answering such questions are at the core of the field of uncertainty quantification (UQ) [1, 2].”