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A global sensitivity index based on Fréchet derivative and its efficient numerical analysis
16 references·5 citing·40 second hop
A global sensitivity index based on Fréchet derivative and its efficient numerical analysis (2020)A global sensitivity index based on Fréch…Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework (2019)Surrogate-assisted reliabilit…A GF-discrepancy for point selection in stochastic seismic response analysis of structures with uncertain parameters (2015)A GF-discrepancy for point se…Reliability-based design optimization using kriging surrogates and subset simulation (2011)Reliability-based design opti…Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)Efficient computation of glob…Stochastic Dynamics of Structures (2009)Stochastic Dynamics of Struct…Subset simulation for structural reliability sensitivity analysis (2008)Subset simulation for structu…Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…The principle of preservation of probability and the generalized density evolution equation (2006)The principle of preservation…A new uncertainty importance measure (2006)A new uncertainty importance …Reliability-based design sensitivity by efficient simulation (2005)Reliability-based design sens…Probability density evolution method for dynamic response analysis of structures with uncertain parameters (2004)Probability density evolution…Stochastic Calculus: Applications in Science and Engineering (2002)Stochastic Calculus: Applicat…Sensitivity Analysis for Importance Assessment (2002)Sensitivity Analysis for Impo…Reliability-based optimal structural design by the decoupling approach (2001)Reliability-based optimal str…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…Asymptotic approximations for probability integrals (1989)Asymptotic approximations for…Joint probabilistic modelling and sampling from small data via probabilistic learning on manifolds and decoupled multi-probability density evolution method (2025)Joint probabilistic modelling…Improvements to the probability density evolution method integrated with the change of probability measure on quantifying hybrid uncertainties (2023)Improvements to the probabili…Global sensitivity evolution equation of the Fréchet-derivative-based global sensitivity analysis (2023)Global sensitivity evolution …A two-stage uncertainty quantification framework for reliability and sensitivity analysis of structures using the probability density evolution method integrated with the Fréchet-derivative-based method (2023)A two-stage uncertainty quant…Sensitivity estimation of first excursion probabilities of linear structures subject to stochastic Gaussian loading (2021)Sensitivity estimation of fir…Factorial Sampling Plans for Preliminary Computational Experiments (1991)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015)Variable importance analysis: A comprehensive review (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)The stochastic finite-element method (1980)Neumann Expansion for Stochastic Finite Element Analysis (1988)A state-of-the-art report on computational stochastic mechanics (1997)The extreme value distribution and dynamic reliability analysis of nonlinear structures with uncertain parameters (2006)The Number Theoretical Method in Response Analysis of Nonlinear Stochastic Structures (2006)Advances of the probability density evolution method for nonlinear stochastic systems (2011)Statistics for Experimenters (1979)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)“Opening Up” and “Closing Down” (2007)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)Design and Analysis of Computer Experiments (1989)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Stochastic Finite Elements: A Spectral Approach (1991)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)Probabilistic Structural Dynamics: Advanced Theory and Applications (1967)Probability density evolution method: Background, significance and recent developments (2015)Direct probability integral method for stochastic response analysis of static and dynamic structural systems (2019)Statistics for Spatial Data (1993)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Aleatory or epistemic? Does it matter? (2008)A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry (2015)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Monte Carlo solution of structural dynamics (1972)A unified analysis framework of static and dynamic structural reliabilities based on direct probability integral method (2021)System reliability analyses of static and dynamic structures via direct probability integral method (2021)POLYNOMIAL-CHAOS-BASED KRIGING (2015)An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark (2021)Random function based spectral representation of stationary and non-stationary stochastic processes (2016)
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References

  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2002Sensitivity Analysis for Importance Assessment1,303 cited
  • 2006A new uncertainty importance measure1,030 cited
  • 2009Stochastic Dynamics of Structures923 cited
  • 2006The principle of preservation of probability and the generalized density evolution equation517 cited
  • 2011Reliability-based design optimization using kriging surrogates and subset simulation450 cited
  • 2015A GF-discrepancy for point selection in stochastic seismic response analysis of structures with uncertain parameters410 cited
  • 2010Efficient computation of global sensitivity indices using sparse polynomial chaos expansions383 cited
  • 2004Probability density evolution method for dynamic response analysis of structures with uncertain parameters368 cited
  • 2002Stochastic Calculus: Applications in Science and Engineering345 cited
  • 2005Reliability-based design sensitivity by efficient simulation330 cited
  • 2008Subset simulation for structural reliability sensitivity analysis284 cited
  • 2001Reliability-based optimal structural design by the decoupling approach241 cited
  • 2019

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Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework
213 cited
  • 1989Asymptotic approximations for probability integrals200 cited
  • Cited by

    • 2023Improvements to the probability density evolution method integrated with the change of probability measure on quantifying hybrid uncertainties21 cited
    • 2023Global sensitivity evolution equation of the Fréchet-derivative-based global sensitivity analysis19 cited
    • 2023A two-stage uncertainty quantification framework for reliability and sensitivity analysis of structures using the probability density evolution method integrated with the Fréchet-derivative-based method16 cited
    • 2021Sensitivity estimation of first excursion probabilities of linear structures subject to stochastic Gaussian loading13 cited
    • 2025Joint probabilistic modelling and sampling from small data via probabilistic learning on manifolds and decoupled multi-probability density evolution method12 cited