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Batch sequential designs for computer experiments
15 references·10 citing·22 second hop
Batch sequential designs for computer experiments (2009)Batch sequential designs for computer exp…Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Choosing the Sample Size of a…Sequential Experiment Design for Contour Estimation From Complex Computer Codes (2008)Sequential Experiment Design …Combining Field Data and Computer Simulations for Calibration and Prediction (2004)Combining Field Data and Comp…Orthogonal Arrays: Theory and Applications (2000)Orthogonal Arrays: Theory and…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 …Screening, Predicting, and Computer Experiments (1992)Screening, Predicting, and Co…Minimax and maximin distance designs (1990)Minimax and maximin distance …Theory of Optimal Designs (1989)Theory of Optimal DesignsDesigns for Computer Experiments (1989)Designs for Computer Experime…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Maximum entropy sampling (1987)Maximum entropy samplingA 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…On a Measure of the Information Provided by an Experiment (1956)On a Measure of the Informati…Bayesian calibration of continuum damage model parameters for an oxide-oxide ceramic matrix composite using inhomogeneous experimental data (2022)Bayesian calibration of conti…A Framework based on Finite Mixture Models and Adaptive Kriging for Characterizing Non-Smooth and Multimodal Failure Regions in a Nuclear Passive Safety System (2021)A Framework based on Finite M…Distance-Distributed Design for Gaussian Process Surrogates (2019)Distance-Distributed Design f…Review and comparison of two meta-model-based uncertainty propagation analysis methods in groundwater applications: polynomial chaos expansion and Gaussian process emulation (2018)Review and comparison of two …Exploratory ensemble designs for environmental models using k‐extended Latin Hypercubes (2015)Exploratory ensemble designs …Simulation experiments: Better data, not just big data (2014)Simulation experiments: Bette…An Adaptive Exploration-Exploitation Algorithm for Constructing Metamodels in Random Simulation Using a Novel Sequential Experimental Design (2013)An Adaptive Exploration-Explo…Survey and evaluate Uncertainty Quantification Methodologies (2012)Survey and evaluate Uncertain…Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data (2012)Sequential Monte Carlo for Ba…Batch sequential design to achieve predictive maturity with calibrated computer models (2011)Batch sequential design to ac…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)Simulation Modeling and Analysis. (1983)Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)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)Overview of Modern Design of Experiments Methods for Computational Simulations (Invited) (2003)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)Response Surface Methodology: A Retrospective and Literature Survey (2004)The Stag Hunt and the Evolution of Social Structure (2003)Signals (2010)DiceKriging , DiceOptim : Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)Design and Analysis of Simulation Experiments (2018)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
  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 1956On a Measure of the Information Provided by an Experiment1,507 cited
  • 1990Minimax and maximin distance designs1,452 cited
  • 1995Exploratory designs for computational experiments1,202 cited
  • 2000Orthogonal Arrays: Theory and Applications1,079 cited
  • 1989Designs for Computer Experiments970 cited
  • 1993Orthogonal Array-Based Latin Hypercubes859 cited
  • 2009Choosing the Sample Size of a Computer Experiment: A Practical Guide766 cited
  • 1992Screening, Predicting, and Computer Experiments633 cited
  • 2004Combining Field Data and Computer Simulations for Calibration and Prediction622 cited
  • 1987Maximum entropy sampling603 cited
  • 1989Theory of Optimal Designs306 cited
  • 2008Sequential Experiment Design for Contour Estimation From Complex Computer Codes264 cited

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Cited by

  • 2015Exploratory ensemble designs for environmental models using k‐extended Latin Hypercubes52 cited
  • 2012Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data51 cited
  • 2013An Adaptive Exploration-Exploitation Algorithm for Constructing Metamodels in Random Simulation Using a Novel Sequential Experimental Design49 cited
  • 2011Batch sequential design to achieve predictive maturity with calibrated computer models43 cited
  • 2018Review and comparison of two meta-model-based uncertainty propagation analysis methods in groundwater applications: polynomial chaos expansion and Gaussian process emulation40 cited
  • 2014Simulation experiments: Better data, not just big data35 cited
  • 2019Distance-Distributed Design for Gaussian Process Surrogates33 cited
  • 2012Survey and evaluate Uncertainty Quantification Methodologies26 cited
  • 2021A Framework based on Finite Mixture Models and Adaptive Kriging for Characterizing Non-Smooth and Multimodal Failure Regions in a Nuclear Passive Safety System22 cited
  • 2022Bayesian calibration of continuum damage model parameters for an oxide-oxide ceramic matrix composite using inhomogeneous experimental data12 cited