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Exploratory ensemble designs for environmental models using k‐extended Latin Hypercubes
16 references·2 citing·26 second hop
Exploratory ensemble designs for environmental models using k‐extended Latin Hypercubes (2015)Exploratory ensemble designs for environm…Computer Model Validation with Functional Output (2015)Computer Model Validation wit…Sliced Latin Hypercube Designs (2012)Sliced Latin Hypercube DesignsNested Latin hypercube designs (2009)Nested Latin hypercube designsConstruction of orthogonal Latin hypercube designs (2009)Construction of orthogonal La…Batch sequential designs for computer experiments (2009)Batch sequential designs for …ORTHOGONAL-MAXIMIN LATIN HYPERCUBE DESIGNS (2008)ORTHOGONAL-MAXIMIN LATIN HYPE…Extension of Latin hypercube samples with correlated variables (2007)Extension of Latin hypercube …Design and Modeling for Computer Experiments (2005)Design and Modeling for Compu…Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Probabilistic Sensitivity Ana…The Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…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…Exploratory designs for computational experiments (1995)Exploratory designs for compu…Orthogonal Array-Based Latin Hypercubes (1993)Orthogonal Array-Based Latin …Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…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…Progressive Latin Hypercube sampling-based robust design optimisation (PLHS-RDO) (2020)Progressive Latin Hypercube s…A novel extension algorithm for optimized Latin hypercube sampling (2017)A novel extension algorithm f…THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Orthogonal Column Latin Hypercubes and Their Application in Computer Experiments (1998)Algorithmic construction of optimal symmetric Latin hypercube designs (2000)An efficient algorithm for constructing optimal design of computer experiments (2004)Importance measures in global sensitivity analysis of nonlinear models (1996)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A new uncertainty importance measure (2006)Bayesian analysis of computer code outputs: A tutorial (2006)How to avoid a perfunctory sensitivity analysis (2010)Stochastic Kriging for Simulation Metamodeling (2009)A Review on Global Sensitivity Analysis Methods (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Correlation and Dependence in Risk Management: Properties and Pitfalls (2002)Making best use of model evaluations to compute sensitivity indices (2002)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)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)Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling (2011)Latin hypercube sampling with multidimensional uniformity (2011)Space-filling designs for computer experiments: A review (2016)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Sensitivity analysis: A review of recent advances (2015)
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References

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  • 2012Sliced Latin Hypercube Designs193 cited
  • 2009Nested Latin hypercube designs151 cited
  • 2007Extension of Latin hypercube samples with correlated variables113 cited
  • 2009Construction of orthogonal Latin hypercube designs109 cited

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  • 2009Batch sequential designs for computer experiments105 cited
  • Cited by

    • 2017A novel extension algorithm for optimized Latin hypercube sampling39 cited
    • 2020Progressive Latin Hypercube sampling-based robust design optimisation (PLHS-RDO)15 cited