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Design of computer experiments: space filling and beyond
16 references·16 citing·21 second hopsampled
Design of computer experiments: space filling and beyond (2011)Design of computer experiments: space fil…Design and Modeling for Computer Experiments (2005)Design and Modeling for Compu…The Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…Uniform Design: Theory and Application (2000)Uniform Design: Theory and Ap…Interpolation of Spatial Data: Some Theory for Kriging (2000)Interpolation of Spatial Data…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…Interpolation of Spatial Data (1999)Interpolation of Spatial DataExploratory designs for computational experiments (1995)Exploratory designs for compu…Statistics for Spatial Data. (1993)Statistics for Spatial Data.Statistics for Spatial Data (1993)Statistics for Spatial DataOrthogonal Array-Based Latin Hypercubes (1993)Orthogonal Array-Based Latin …STATISTICS FOR SPATIAL DATA (1992)STATISTICS FOR SPATIAL DATAMinimax and maximin distance designs (1990)Minimax and maximin distance …Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…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…Theory of Optimal Experiments. (1972)Theory of Optimal Experiments.Theory of optimal experiments (1972)Theory of optimal experimentsOn Design Orthogonality, Maximin Distance, and Projection Uniformity for Computer Experiments (2020)On Design Orthogonality, Maxi…The Uranie platform: an open-source software for optimisation, meta-modelling and uncertainty analysis (2019)The Uranie platform: an open-…Replication or Exploration? Sequential Design for Stochastic Simulation Experiments (2018)Replication or Exploration? S…Efficient sampling algorithm for large-scale optimization under uncertainty problems (2018)Efficient sampling algorithm …An efficient approach for high-dimensional structural reliability analysis (2018)An efficient approach for hig…Sequential Design of Experiment for Sparse Polynomial Chaos Expansions (2017)Sequential Design of Experime…Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment (2017)Metamodel based high-fidelity…Least squares polynomial chaos expansion: A review of sampling strategies (2017)Least squares polynomial chao…Design of computer experiments: A review (2017)Design of computer experiment…Review of improved Monte Carlo methods in uncertainty-based design optimization for aerospace vehicles (2016)Review of improved Monte Carl…Decision-Making in Agent-Based Models of Migration: State of the Art and Challenges (2016)Decision-Making in Agent-Base…DiceDesignandDiceEval: TwoRPackages for Design and Analysis of Computer Experiments (2015)DiceDesignandDiceEval: TwoRPa…A Tutorial on Latin Hypercube Design of Experiments (2015)A Tutorial on Latin Hypercube…Sampling efficiency in Monte Carlo based uncertainty propagation strategies: Application in seawater intrusion simulations (2014)Sampling efficiency in Monte …Efficiency enhancement of optimized Latin hypercube sampling strategies: Application to Monte Carlo uncertainty analysis and meta-modeling (2014)Efficiency enhancement of opt…Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties (2013)Numerical studies of space-fi…Fractional Brownian Motions, Fractional Noises and Applications (1968)Recovery of Inter-Block Information when Block Sizes are Unequal (1971)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)Importance measures in global sensitivity analysis of nonlinear models (1996)Local Indicators of Spatial Association—LISA (1995)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2016)Bayesian Experimental Design: A Review (1995)Global sensitivity analysis using polynomial chaos expansions (2007)Response surface methodology (2010)Model-Based Geostatistics (1998)Use of Kriging Models to Approximate Deterministic Computer Models (2005)Spatial Panel Econometrics (2008)Multivariable geostatistics in S: the gstat package (2004)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)A Review on Global Sensitivity Analysis Methods (2015)Sensitivity analysis: A review of recent advances (2015)
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References

  • 1992STATISTICS FOR SPATIAL DATA9,140 cited
  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 1993Statistics for Spatial Data6,517 cited
  • 1993Statistics for Spatial Data.5,101 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 1999Interpolation of Spatial Data2,362 cited
  • 2003The Design and Analysis of Computer Experiments2,204 cited
  • 1972Theory of optimal experiments2,093 cited
  • 2000Interpolation of Spatial Data: Some Theory for Kriging1,916 cited
  • 1972Theory of Optimal Experiments.1,896 cited
  • 1990Minimax and maximin distance designs1,452 cited
  • 1995Exploratory designs for computational experiments1,202 cited
  • 2005Design and Modeling for Computer Experiments1,135 cited
  • 2000Uniform Design: Theory and Application954 cited
  • 1993Orthogonal Array-Based Latin Hypercubes859 cited

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Cited by

  • 2017Design of computer experiments: A review350 cited
  • 2015A Tutorial on Latin Hypercube Design of Experiments247 cited
  • 2016Decision-Making in Agent-Based Models of Migration: State of the Art and Challenges202 cited
  • 2017Least squares polynomial chaos expansion: A review of sampling strategies157 cited
  • 2013Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties155 cited
  • 2017Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment144 cited
  • 2015DiceDesignandDiceEval: TwoRPackages for Design and Analysis of Computer Experiments129 cited
  • 2018Replication or Exploration? Sequential Design for Stochastic Simulation Experiments106 cited
  • 2014Efficiency enhancement of optimized Latin hypercube sampling strategies: Application to Monte Carlo uncertainty analysis and meta-modeling93 cited
  • 2016Review of improved Monte Carlo methods in uncertainty-based design optimization for aerospace vehicles88 cited
  • 2017Sequential Design of Experiment for Sparse Polynomial Chaos Expansions83 cited
  • 2018Efficient sampling algorithm for large-scale optimization under uncertainty problems66 cited
  • 2020On Design Orthogonality, Maximin Distance, and Projection Uniformity for Computer Experiments54 cited
  • 2018An efficient approach for high-dimensional structural reliability analysis53 cited
  • 2019The Uranie platform: an open-source software for optimisation, meta-modelling and uncertainty analysis50 cited
  • 2014Sampling efficiency in Monte Carlo based uncertainty propagation strategies: Application in seawater intrusion simulations50 cited