Robust discrimination between uncertain management alternatives by iterative reflection on crossover point scenarios: Principles, design and implementations
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A decomposition-based approach to uncertainty analysis of feed-forward multicomponent systems: DECOMPOSITION-BASED UNCERTAINTY ANALYSIS
- Amaral, Sergio; Allaire, Douglas; Willcox, Karen
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International Journal for Numerical Methods in Engineering, Vol. 100, Issue 13
https://doi.org/10.1002/nme.4779
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The future of distributed models: Model calibration and uncertainty prediction
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Measure transformation and efficient quadrature in reduced-dimensional stochastic modeling of coupled problems: STOCHASTIC MODELING OF COUPLED PROBLEMS
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Parameter uncertainty and interaction in complex environmental models
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Combining Quantitative and Qualitative Measures of Uncertainty in Model‐Based Environmental Assessment: The NUSAP System
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A Stochastic Collocation Algorithm with Multifidelity Models
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Compressive sampling of polynomial chaos expansions: Convergence analysis and sampling strategies
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Optimal Model Management for Multifidelity Monte Carlo Estimation
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Sparse grids
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An alternative way to compute Fourier amplitude sensitivity test (FAST)
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Enhancing adaptive sparse grid approximations and improving refinement strategies using adjoint-based a posteriori error estimates
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A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic Inversion
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Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation
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Fusion of hard and soft information in nonparametric density estimation
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Local Polynomial Chaos Expansion for Linear Differential Equations with High Dimensional Random Inputs
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A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data
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A component-based approach to integrated modeling in the geosciences: The design of CSDMS
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Multilevel Monte Carlo methods
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Most computational hydrology is not reproducible, so is it really science?: REPRODUCIBLE COMPUTATIONAL HYDROLOGY
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Efficient uncertainty propagation for network multiphysics systems: UNCERTAINTY PROPAGATION FOR NETWORK SYSTEMS
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Inverse problems: A Bayesian perspective
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Disaggregation procedures for stochastic hydrology based on nonparametric density estimation
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Uncertainty in the environmental modelling process – A framework and guidance
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A Brief Survey of Bandwidth Selection for Density Estimation
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