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Efficiency of Uncertainty Propagation Methods for Estimating Output Moments
11 references·1 citing·37 second hop
Efficiency of Uncertainty Propagation Methods for Estimating Output Moments (2019)Efficiency of Uncertainty Propagation Met…Design of computer experiments: A review (2017)Design of computer experiment…Chaospy: An open source tool for designing methods of uncertainty quantification (2015)Chaospy: An open source tool …A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)A comprehensive framework for…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Polynomial chaos expansion for sensitivity analysis (2008)Polynomial chaos expansion fo…A comparative study of uncertainty propagation methods for black-box-type problems (2008)A comparative study of uncert…Intrusive versus Non-Intrusive Methods for Stochastic Finite Elements (2007)Intrusive versus Non-Intrusiv…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Measurement Uncertainty: Methods and Applications (1994)Measurement Uncertainty: Meth…Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Comparison of Three Methods f…Uncertainty analysis of structural output with closed-form expression based on surrogate model (2023)Uncertainty analysis of struc…Exact and Invariant Second-Moment Code Format (1974)Structural reliability under combined random load sequences (1978)Adaptive-sparse polynomial chaos expansion for reliability analysis and design of complex engineering systems (2010)Modeling, analysis, and optimization under uncertainties: a review (2021)Recent Advances in Surrogate Modeling Methods for Uncertainty Quantification and Propagation (2022)Design and Analysis of Computer Experiments (1989)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global Sensitivity Analysis. The Primer (2007)How to avoid a perfunctory sensitivity analysis (2010)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion (2012)Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions (2017)Sensitivity and uncertainty analysis for flexoelectric nanostructures (2018)A mathematical theory of evidence (1977)Verification and Validation in Computational Science and Engineering (1998)Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems (2015)Adaptive kriging-based efficient reliability method for structural systems with multiple failure modes and mixed variables (2019)An Introduction to Copulas (1999)Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience (2018)Certain trends in uncertainty and sensitivity analysis: An overview of software tools and techniques (2019)UQpy: A general purpose Python package and development environment for uncertainty quantification (2020)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Surrogate-assisted global sensitivity analysis: an overview (2020)A dynamic knowledge graph approach to distributed self-driving laboratories (2024)Global sensitivity analysis using polynomial chaos expansions (2007)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)The impact of social information system governance, utilization, and capabilities on absorptive capacity and innovation: A case of Austrian SMEs (2015)Uncertainty in Measurement and Total Error (2016)The roles of absorptive capacity and cultural balance for exploratory and exploitative innovation in SMEs (2017)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)A distribution-free approach to inducing rank correlation among input variables (1982)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Uniform Design: Theory and Application (2000)
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References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,238 cited
  • 2011A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing810 cited
  • 2008Polynomial chaos expansion for sensitivity analysis747 cited
  • 2017Design of computer experiments: A review350 cited
  • 2015Chaospy: An open source tool for designing methods of uncertainty quantification336 cited
  • 2008A comparative study of uncertainty propagation methods for black-box-type problems331 cited
  • 1994Measurement Uncertainty: Methods and Applications208 cited
  • 2007Intrusive versus Non-Intrusive Methods for Stochastic Finite Elements24 cited

Cited by

  • 2023Uncertainty analysis of structural output with closed-form expression based on surrogate model8 cited

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