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Sensitivity analysis techniques applied to a system of hyperbolic conservation laws
16 references·7 citing·27 second hop
Sensitivity analysis techniques applied to a system of hyperbolic conservation laws (2011)Sensitivity analysis techniques applied t…Numerical Methods for Stochastic Computations: A Spectral Method Approach (2010)Numerical Methods for Stochas…DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)DAKOTA : a multilevel paralle…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2005)Sensitivity Analysis in Pract…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2004)Sensitivity Analysis in Pract…Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Probabilistic Sensitivity Ana…Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes (2004)Numerical Challenges in the U…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …High Dimensional Model Representations (2001)High Dimensional Model Repres…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…General foundations of high‐dimensional model representations (1999)General foundations of high‐d…Analysis of variance designs for model output (1999)Analysis of variance designs …Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…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…Microstructure-Sensitive Uncertainty Quantification for Crystal Plasticity Finite Element Constitutive Models Using Stochastic Collocation Methods (2022)Microstructure-Sensitive Unce…Robustness of the Sobol' Indices to Marginal Distribution Uncertainty (2019)Robustness of the Sobol' Indi…Global sensitivity analysis of passive safety systems of FHR by using meta-modeling and sampling methods (2019)Global sensitivity analysis o…Parameter Selection and Verification Techniques Based on Global Sensitivity Analysis Illustrated for an HIV Model (2016)Parameter Selection and Verif…Probabilistic Methods for Sensitivity Analysis and Calibration in the NASA Challenge Problem (2014)Probabilistic Methods for Sen…Moment‐Independent Sensitivity Analysis Using Copula (2013)Moment‐Independent Sensitivit…Advances in sensitivity analysis (2012)Advances in sensitivity analy…Stochastic Finite Elements: A Spectral Approach (1991)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)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)SALib: An open-source Python library for Sensitivity Analysis (2017)Empirical Model Building and Response Surfaces (1988)A new uncertainty importance measure (2006)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)A Review on Global Sensitivity Analysis Methods (2015)Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients (2011)Stochastic finite element methods for partial differential equations with random input data (2014)Chaospy: An open source tool for designing methods of uncertainty quantification (2015)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)Tools for Composite Indicators Building (2005)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
  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 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
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 2005Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,843 cited
  • 2004Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,797 cited
  • 2010Numerical Methods for Stochastic Computations: A Spectral Method Approach1,107 cited
  • 2004Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach1,085 cited
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  • 2010DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual.775 cited

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1999
Analysis of variance designs for model output
648 cited
  • 2001High Dimensional Model Representations497 cited
  • 2004Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes451 cited
  • Cited by

    • 2013Moment‐Independent Sensitivity Analysis Using Copula42 cited
    • 2016Parameter Selection and Verification Techniques Based on Global Sensitivity Analysis Illustrated for an HIV Model39 cited
    • 2022Microstructure-Sensitive Uncertainty Quantification for Crystal Plasticity Finite Element Constitutive Models Using Stochastic Collocation Methods22 cited
    • 2014Probabilistic Methods for Sensitivity Analysis and Calibration in the NASA Challenge Problem18 cited
    • 2019Global sensitivity analysis of passive safety systems of FHR by using meta-modeling and sampling methods16 cited
    • 2012Advances in sensitivity analysis14 cited
    • 2019Robustness of the Sobol' Indices to Marginal Distribution Uncertainty12 cited