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Global Sensitivity Analysis for multivariate output using Polynomial Chaos Expansion · Study

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ArticleGlobal Sensitivity Analysis for multivariate output using Polynomial Chaos Expansion

Oscar García-Cabrejo2014

Article2014

Global Sensitivity Analysis for multivariate output using Polynomial Chaos Expansion

Oscar García-Cabrejo · Albert J. Valocchi

117 citations·0/0 files stored·Reliability Engineering & System Safety

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Probabilistic and Robust Engineering Design Advanced Multi-Objective Optimization Algorithms Gaussian Processes and Bayesian Inference

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References

2007Global Sensitivity Analysis. The Primer 1991Stochastic Finite Elements: A Spectral Approach 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations 2007Global sensitivity analysis using polynomial chaos expansions 2002Making best use of model evaluations to compute sensitivity indices 1996Importance measures in global sensitivity analysis of nonlinear models 2010Adaptive sparse polynomial chaos expansion based on least angle regression 2010Numerical Methods for Stochastic Computations: A Spectral Method Approach

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2014Polynomial chaos expansions for uncertainty propagation and moment independent sensitivity analysis of seawater intrusion simulations 2017Global sensitivity analysis using support vector regression 2021Uncertainty propagation in risk and resilience analysis of hierarchical systems 2018Using polynomial chaos expansion for uncertainty and sensitivity analysis of bridge structures 2019Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation

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Details

Year2014

Typearticle

Published2014-01-11

VenueReliability Engineering & System Safety

ISSN-L0951-8320

Languageen

Citations117

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.ress.2014.01.005

openalex_workW1967213492

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2017Global sensitivity analysis via multi-fidelity polynomial chaos expansion

2017Multivariate global sensitivity analysis for dynamic models based on wavelet analysis

2016Global sensitivity analysis using a Gaussian Radial Basis Function metamodel