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Sparse moment quadrature for uncertainty modeling and quantification
16 references·0 citing·42 second hop
Sparse moment quadrature for uncertainty modeling and quantification (2023)Sparse moment quadrature for uncertainty …A review and assessment of importance sampling methods for reliability analysis (2022)A review and assessment of im…Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments (2021)Uncertainty quantification fo…Surrogate modeling of high-dimensional problems via data-driven polynomial chaos expansions and sparse partial least square (2020)Surrogate modeling of high-di…SAMBA: Sparse Approximation of Moment-Based Arbitrary Polynomial Chaos (2016)SAMBA: Sparse Approximation o…A sparse grid stochastic collocation method for structural reliability analysis (2014)A sparse grid stochastic coll…Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion (2012)Data-driven uncertainty quant…An efficient analytical Bayesian method for reliability and system response updating based on Laplace and inverse first-order reliability computations (2011)An efficient analytical Bayes…Nataf transformation based point estimate method (2008)Nataf transformation based po…Kriging metamodeling in simulation: A review (2007)Kriging metamodeling in simul…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 …Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…General foundations of high‐dimensional model representations (1999)General foundations of high‐d…A new look at the response surface approach for reliability analysis (1993)A new look at the response su…Polynomial Chaos in Stochastic Finite Elements (1990)Polynomial Chaos in Stochasti…A Reliability-Based Optimal Design Using Advanced First Order Second 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References

  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 2007Kriging metamodeling in simulation: A review1,278 cited
  • 1999General foundations of high‐dimensional model representations905 cited
  • 1993A new look at the response surface approach for reliability analysis733 cited
  • 2012Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion451 cited
  • 1990Polynomial Chaos in Stochastic Finite Elements416 cited
  • 2022A review and assessment of importance sampling methods for reliability analysis273 cited
  • 2008Nataf transformation based point estimate method184 cited
  • 2016SAMBA: Sparse Approximation of Moment-Based Arbitrary Polynomial Chaos100 cited
  • 2014A sparse grid stochastic collocation method for structural reliability analysis93 cited
  • 1987A Reliability-Based Optimal Design Using Advanced First Order Second Moment Method89 cited
  • 2021Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments73 cited

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  • 2011An efficient analytical Bayesian method for reliability and system response updating based on Laplace and inverse first-order reliability computations63 cited
  • 2020Surrogate modeling of high-dimensional problems via data-driven polynomial chaos expansions and sparse partial least square55 cited
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