UQLab: a framework for uncertainty quantification in MATLAB

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The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020, unknown): “These operationalize the various SA methods via different programming languages, and include Dakota (Adams et al., 2020) in C ++ , SobolGSA (Kucherenko and Zaccheus, 2020) in C#, MATLAB, and Python, UQLab (Marelli and Sudret, 2014) in MATLAB, OpenTURNS (Baudin et al., 2017) in Python and C ++ , the ”
Active learning for structural reliability: Survey, general framework and benchmark (2021, methodology): “The implementations in the PCE module (Marelli and Sudret, 2017) of UQLab (Marelli and Sudret, 2014) were used for the applications in this paper.”
Basis-Adaptive Sparse Polynomial Chaos Expansion for Probabilistic Power Flow (2017, unknown): “Simulation tool OpenDSS [31] is used to calculate the DPF, and toolbox UQLab [32] from ETH Zurich is adopted for construction of the BASPC expansion.”
Gaussian Processes for history-matching: application to an unconventional gas reservoir (2017, unknown): “The figures were produced using UQLab [143, 144]”