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Adaptive experiment design for probabilistic integration
10 references·16 citing·42 second hop
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this work references cited by second hop

References

  • 2007Simulation and the Monte Carlo Method2,454 cited
  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 1994Optimal Latin-hypercube designs for computer experiments634 cited
  • 2013Metamodel-based importance sampling for structural reliability analysis535 cited
  • 2004A critical appraisal of reliability estimation procedures for high dimensions476 cited
  • 2009Do Rosenblatt and Nataf isoprobabilistic transformations really differ?149 cited
  • 2017Sensitivity estimation of failure probability applying line sampling75 cited
  • 2018A Bayesian Monte Carlo-based method for efficient computation of global sensitivity indices65 cited
  • 2019Structural reliability and reliability sensitivity analysis of extremely rare failure events by combining sampling and surrogate model methods59 cited

Cited by

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  • 2021Data-driven and active learning of variance-based sensitivity indices with Bayesian probabilistic integration38 cited
  • 2024On active learning for Gaussian process-based global sensitivity analysis32 cited
  • 2023

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Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysis
30 cited
  • 2020Bayesian probabilistic propagation of imprecise probabilities with large epistemic uncertainty30 cited
  • 2021The soft Monte Carlo method29 cited
  • 2024Hybrid uncertainty propagation based on multi-fidelity surrogate model25 cited
  • 2022Stochastic analysis of structures under limited observations using kernel density estimation and arbitrary polynomial chaos expansion24 cited
  • 2022Bayesian probabilistic propagation of hybrid uncertainties: Estimation of response expectation function, its variable importance and bounds18 cited
  • 2023Adaptive decoupled robust design optimization17 cited
  • 2025Sequential and adaptive probabilistic integration for structural reliability analysis17 cited
  • 2021Bounds optimization of model response moments: a twin-engine Bayesian active learning method17 cited
  • 2024Novel gradient-enhanced Bayesian neural networks for uncertainty propagation16 cited
  • 2023Collaborative and Adaptive Bayesian Optimization for bounding variances and probabilities under hybrid uncertainties15 cited
  • 2023A multi-region active learning Kriging method for response distribution construction of highly nonlinear problems13 cited
  • 2024Adaptive artificial neural network for uncertainty propagation11 cited