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Comparison of pure and “Latinized” centroidal Voronoi tessellation against various other statistical sampling methods
7 references·16 citing·37 second hop
Comparison of pure and “Latinized” centroidal Voronoi tessellation against various other statistical sampling methods (2006)Comparison of pure and “Latinized” centro…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …Algorithmic construction of optimal symmetric Latin hypercube designs (2000)Algorithmic construction of o…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…An Efficient Sampling Technique for Off-Line Quality Control (1997)An Efficient Sampling Techniq…Fortran 77 program and user's guide for the generation of Latin hypercube and random samples for use with computer models (1984)Fortran 77 program and user's…A distribution-free approach to inducing rank correlation among input variables (1982)A distribution-free approach …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…A theoretically-consistent parallel enrichment strategy for Bayesian active learning reliability analysis (2025)A theoretically-consistent pa…Parallel active learning reliability analysis: A multi-point look-ahead paradigm (2024)Parallel active learning reli…Intelligent sampling for surrogate modeling, hyperparameter optimization, and data analysis (2022)Intelligent sampling for surr…Approaches for Quantifying Uncertainties in Computational Modeling for Aerospace Applications (2020)Approaches for Quantifying Un…A Multilevel Monte Carlo Ensemble Scheme for Random Parabolic PDEs (2019)A Multilevel Monte Carlo Ense…Projection methods for stochastic dynamic systems: A frequency domain approach (2018)Projection methods for stocha…Stochastic finite element response analysis using random eigenfunction expansion (2017)Stochastic finite element res…Modification of the Audze–Eglājs criterion to achieve a uniform distribution of sampling points (2016)Modification of the Audze–Egl…Reliability assessment using probabilistic support vector machines (2013)Reliability assessment using …Self-optimising Production Systems (2011)Self-optimising Production Sy…Simulation and probabilistic failure prediction of grafts for aortic aneurysm (2010)Simulation and probabilistic …Reliability-Based Optimal Design and Tolerancing for Multibody Systems Using Explicit Design Space Decomposition (2010)Reliability-Based Optimal Des…Reliability-Based Design Optimization of Nonlinear Aeroelasticity Problems (2010)Reliability-Based Design Opti…A multifidelity approach for the construction of explicit decision boundaries: application to aeroelasticity (2010)A multifidelity approach for …Comparison of Uncertainty Propagation / Response Surface Techniques for Two Aeroelastic Systems (2009)Comparison of Uncertainty Pro…A sampling-based approach for probabilistic design with random fields (2009)A sampling-based approach for…Small sample sensitivity analysis techniques for computer models.with an application to risk assessment (1980)Uncertainty (1990)Taguchi's Parameter Design: A Panel Discussion (1992)Analysis of Computer Experiments Using Penalized Likelihood in Gaussian Kriging Models (2005)A review on design, modeling and applications of computer experiments (2006)Monte Carlo sampling-based methods for stochastic optimization (2014)Stochastic Finite Elements: A Spectral Approach (1991)Design and Analysis of Experiments (2006)Buckling analysis of imperfect I-section beam-columns with stochastic shell finite elements (2010)Buckling analysis of I-section portal frames with stochastic imperfections (2012)A novel first–order reliability method based on performance measure approach for highly nonlinear problems (2017)Structural Reliability Analysis and Prediction (2017)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Correlation and Dependence in Risk Management: Properties and Pitfalls (2002)Making best use of model evaluations to compute sensitivity indices (2002)Minimax and maximin distance designs (1990)ORTHOGONAL-MAXIMIN LATIN HYPERCUBE DESIGNS (2008)An algorithm for fast optimal Latin hypercube design of experiments (2009)Design of computer experiments: A review (2017)Response Surface Methodology (1996)Probability, reliability and statistical methods in engineering design (1999)Computational strategies for reliability-based structural optimization of aeroelastic limit cycle oscillations (2011)Reliability Based Multidisciplinary Optimization of Aeroelastic Systems with Structural and Aerodynamic Uncertainties (2013)A density-matching approach for optimization under uncertainty (2016)Empirical Model Building and Response Surfaces (1988)Design and Analysis of Computer Experiments (1989)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)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)Multilevel Monte Carlo Path Simulation (2008)Covariance Expressions for Multifidelity Sampling with Multioutput, Multistatistic Estimators: Application to Approximate Control Variates (2024)Uncertainty Analysis of Transport-Transformation Models (1999)Overview of Modern Design of Experiments Methods for Computational Simulations (Invited) (2003)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)
this work references cited by second hop

References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 1982A distribution-free approach to inducing rank correlation among input variables1,625 cited
  • 2000Algorithmic construction of optimal symmetric Latin hypercube designs429 cited
  • 1984Fortran 77 program and user's guide for the generation of Latin hypercube and random samples for use with computer models354 cited
  • 1997An Efficient Sampling Technique for Off-Line Quality Control326 cited

Cited by

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  • 2009A sampling-based approach for probabilistic design with random fields46 cited
  • 2019A Multilevel Monte Carlo Ensemble Scheme for Random Parabolic PDEs36 cited
  • 2016Modification of the Audze–Eglājs criterion to achieve a uniform distribution of sampling points32 cited
  • 2022Intelligent sampling for surrogate modeling, hyperparameter optimization, and data analysis32 cited
  • 2011Self-optimising Production Systems31 cited
  • 2010

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A multifidelity approach for the construction of explicit decision boundaries: application to aeroelasticity
30 cited
  • 2020Approaches for Quantifying Uncertainties in Computational Modeling for Aerospace Applications29 cited
  • 2010Reliability-Based Optimal Design and Tolerancing for Multibody Systems Using Explicit Design Space Decomposition26 cited
  • 2013Reliability assessment using probabilistic support vector machines24 cited
  • 2025A theoretically-consistent parallel enrichment strategy for Bayesian active learning reliability analysis23 cited
  • 2010Simulation and probabilistic failure prediction of grafts for aortic aneurysm21 cited
  • 2009Comparison of Uncertainty Propagation / Response Surface Techniques for Two Aeroelastic Systems20 cited
  • 2017Stochastic finite element response analysis using random eigenfunction expansion19 cited
  • 2018Projection methods for stochastic dynamic systems: A frequency domain approach16 cited
  • 2024Parallel active learning reliability analysis: A multi-point look-ahead paradigm15 cited