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Modeling Data from Computer Experiments: An Empirical Comparison of Kriging with MARS and Projection Pursuit Regression
10 references·0 citing·31 second hop
Modeling Data from Computer Experiments: An Empirical Comparison of Kriging with MARS and Projection Pursuit Regression (2007)Modeling Data from Computer Experiments: …Variable Selection for Gaussian Process Models in Computer Experiments (2006)Variable Selection for Gaussi…Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Probabilistic Sensitivity Ana…Combining Field Data and Computer Simulations for Calibration and Prediction (2004)Combining Field Data and Comp…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…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…Modern Industrial Statistics: Design and Control of Quality and Reliability (1999)Modern Industrial Statistics:…Screening, Predicting, and Computer Experiments (1992)Screening, Predicting, and Co…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…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Sampling Strategies for Computer Experiments: Design and Analysis (2001)An efficient algorithm for constructing optimal design of computer experiments (2004)Response Surface Methodology: A Retrospective and Literature Survey (2004)Minimax and maximin distance designs (1990)A Framework for Validation of Computer Models (2007)Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability (2012)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)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)A methodology for fitting and validating metamodels in simulation1Two anonymous referees' comments on the first draft lead to an improved organization of our paper.1 (2000)Reliability-based design optimization using kriging surrogates and subset simulation (2011)DiceKriging , DiceOptim : Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012)Computer experiments: a review (2010)Video Game Telemetry as a Critical Tool in the Study of Complex Skill Learning (2013)A NEW AND FLEXIBLE METHOD FOR CONSTRUCTING DESIGNS FOR COMPUTER EXPERIMENTS (2016)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)Achieving Robust Design from Computer Simulations (2006)Estimating the Standard Deviation in Quality-Control Applications (2010)On Information Quality (2013)A review of techniques for parameter sensitivity analysis of environmental models (1994)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)A Review on Global Sensitivity Analysis Methods (2015)Sensitivity analysis: A review of recent advances (2015)
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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
  • 2003The Design and Analysis of Computer Experiments2,204 cited
  • 2004Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach1,085 cited
  • 2000Uniform Design: Theory and Application954 cited
  • 1992Screening, Predicting, and Computer Experiments633 cited
  • 2004Combining Field Data and Computer Simulations for Calibration and Prediction622 cited
  • 1999Modern Industrial Statistics: Design and Control of Quality and Reliability186 cited
  • 2006Variable Selection for Gaussian Process Models in Computer Experiments167 cited

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