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Hierarchical Refinement of Latin Hypercube Samples
16 references·8 citing·24 second hop
Hierarchical Refinement of Latin Hypercube Samples (2014)Hierarchical Refinement of Latin Hypercub…Simulation and the Monte Carlo Method (2016)Simulation and the Monte Carl…Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence (2012)Monte-Carlo based uncertainty…An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis (2009)An adaptive algorithm to buil…Response Surface Methodology: A Retrospective and Literature Survey (2004)Response Surface Methodology:…Sensitivity & Uncertainty Analysis, Volume 1 (2003)Sensitivity & Uncertainty Ana…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …On Latin hypercube sampling for structural reliability analysis (2002)On Latin hypercube sampling f…High Dimensional Model Representations (2001)High Dimensional Model Repres…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…General foundations of high‐dimensional model representations (1999)General foundations of high‐d…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Large Sample Properties of Si…Sensitivity Analysis in Chemical Kinetics (1983)Sensitivity Analysis in Chemi…Simulation and the Monte Carlo Method (1981)Simulation and the Monte Carl…Small sample sensitivity analysis techniques for computer models.with an application to risk assessment (1980)Small sample sensitivity anal…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods…UQpy v4.1: Uncertainty quantification with Python (2023)UQpy v4.1: Uncertainty quanti…Simulation-Based Reliability Design Optimization Method for Industrial Robot Structural Design (2023)Simulation-Based Reliability …Efficient decoupling-assisted evolutionary/metaheuristic framework for expensive reliability-based design optimization problems (2022)Efficient decoupling-assisted…Variance-based adaptive sequential sampling for Polynomial Chaos Expansion (2021)Variance-based adaptive seque…On the usefulness of gradient information in surrogate modeling: Application to uncertainty propagation in composite material models (2020)On the usefulness of gradient…Latin Hypercube Sampling-Based Monte Carlo Simulation: Extension of the Sample Size and Correlation Control (2018)Latin Hypercube Sampling-Base…A novel extension algorithm for optimized Latin hypercube sampling (2017)A novel extension algorithm f…Reliability calculation of time-consuming problems using a small-sample artificial neural network-based response surface method (2016)Reliability calculation of ti…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal (1993)Optimal Latin-hypercube designs for computer experiments (1994)Sensitivity Analysis for Chemical Models (2005)Structural Reliability Methods (1996)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Global sensitivity analysis using polynomial chaos expansions (2007)Reliability-based design optimization using kriging surrogates and subset simulation (2011)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)Empirical Model Building and Response Surfaces (1988)A new uncertainty importance measure (2006)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)A Review on Global Sensitivity Analysis Methods (2015)Importance measures in global sensitivity analysis of nonlinear models (1996)Efficient input—output model representations (1999)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)A review of techniques for parameter sensitivity analysis of environmental models (1994)Automobile Prices in Market Equilibrium (1995)Estimation of small failure probabilities in high dimensions by subset simulation (2001)A New Study on Reliability-Based Design Optimization (1999)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)
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References

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  • 1983Sensitivity Analysis in Chemical Kinetics536 cited
  • 2001High Dimensional Model Representations497 cited
  • 2012

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Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence
388 cited
  • 2003Sensitivity & Uncertainty Analysis, Volume 1344 cited
  • Cited by

    • 2021Variance-based adaptive sequential sampling for Polynomial Chaos Expansion53 cited
    • 2022Efficient decoupling-assisted evolutionary/metaheuristic framework for expensive reliability-based design optimization problems43 cited
    • 2016Reliability calculation of time-consuming problems using a small-sample artificial neural network-based response surface method39 cited
    • 2017A novel extension algorithm for optimized Latin hypercube sampling39 cited
    • 2020On the usefulness of gradient information in surrogate modeling: Application to uncertainty propagation in composite material models24 cited
    • 2018Latin Hypercube Sampling-Based Monte Carlo Simulation: Extension of the Sample Size and Correlation Control19 cited
    • 2023UQpy v4.1: Uncertainty quantification with Python19 cited
    • 2023Simulation-Based Reliability Design Optimization Method for Industrial Robot Structural Design17 cited