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Overview of hybrid subspace methods for uncertainty quantification, sensitivity analysis
8 references·1 citing·32 second hop
Overview of hybrid subspace methods for uncertainty quantification, sensitivity analysis (2012)Overview of hybrid subspace methods for u…Verification and Validation in Scientific Computing (2010)Verification and Validation i…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…How to measure anything: finding the value of "intangibles" in business (2008)How to measure anything: find…Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Survey of sampling-based meth…Response Surfaces, Mixtures, and Ridge Analyses (2006)Response Surfaces, Mixtures, …Combining experimental data and computer simulations, with an application to flyer plate experiments (2006)Combining experimental data a…Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…Shapley effect application for variance-based sensitivity analysis of the few-group cross-sections (2019)Shapley effect application fo…Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Comparison of Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Quantification (2009)Recent Advances in Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Analysis and Design (2009)Design and Analysis of Computer Experiments (1989)Response Surface Methodology (1996)How to avoid a perfunctory sensitivity analysis (2010)A Review on Global Sensitivity Analysis Methods (2015)The generalization of Latin hypercube sampling (2015)The Design and Analysis of Computer Experiments (2003)Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Analysis of Computer Experiments With Functional Response (2013)An efficient approach for quantifying parameter uncertainty in the SST turbulence model (2019)A global surrogate model technique based on principal component analysis and Kriging for uncertainty propagation of dynamic systems (2020)17. A Value for n-Person Games (1953)A value for n -person games (1988)Global Sensitivity Analysis. The Primer (2007)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Global sensitivity analysis using polynomial chaos expansions (2007)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Supply chain risk management: present and future scope (2012)The Effectiveness of Online Shopping Characteristics and Well-Designed Websites on Satisfaction1 (2012)Benefits Realisation Management and its influence on project success and on the execution of business strategies (2014)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)Imprecise probabilities in engineering analyses (2013)Combustion kinetic model uncertainty quantification, propagation and minimization (2014)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)Response surface design evaluation and comparison (2008)Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 3rd edition (2010)Response surface methodology for advanced manufacturing technology optimization: theoretical fundamentals, practical guidelines, and survey literature review (2019)
this work references cited by second hop

References

  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 2010Verification and Validation in Scientific Computing1,551 cited
  • 2006Survey of sampling-based methods for uncertainty and sensitivity analysis1,240 cited
  • 2010Numerical Methods for Stochastic Computations: A Spectral Method Approach1,107 cited
  • 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
  • 2006Response Surfaces, Mixtures, and Ridge Analyses623 cited
  • 2008How to measure anything: finding the value of "intangibles" in business561 cited
  • 2006Combining experimental data and computer simulations, with an application to flyer plate experiments88 cited

Cited by

  • 2019Shapley effect application for variance-based sensitivity analysis of the few-group cross-sections23 cited

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