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Blind Kriging: A New Method for Developing Metamodels
11 references·16 citing·37 second hop
Blind Kriging: A New Method for Developing Metamodels (2008)Blind Kriging: A New Method for Developin…Experiments (2021)ExperimentsUse of Kriging Models to Approximate Deterministic Computer Models (2005)Use of Kriging Models to Appr…Understanding the Effects of Model Uncertainty in Robust Design With Computer Experiments (2005)Understanding the Effects of …Design and Modeling for Computer Experiments (2005)Design and Modeling for Compu…Analytical Variance-Based Global Sensitivity Analysis in Simulation-Based Design Under Uncertainty (2004)Analytical Variance-Based Glo…Experiments - Planning, Analysis and Parameter Design Optimization (2001)Experiments - Planning, Analy…Screening, Predicting, and Computer Experiments (1992)Screening, Predicting, and Co…Analysis of Designed Experiments with Complex Aliasing (1992)Analysis of Designed Experime…Bayesian design and analysis of computer experiments: Use of derivatives in surface prediction (1991)Bayesian design and analysis …Designs for Computer Experiments (1989)Designs for Computer Experime…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization (2022)A Survey on High-dimensional …Reliability analysis with stratified importance sampling based on adaptive Kriging (2020)Reliability analysis with str…Basic Framework and Main Methods of Uncertainty Quantification (2020)Basic Framework and Main Meth…A sequential surrogate method for reliability analysis based on radial basis function (2018)A sequential surrogate method…A Critical Assessment of Kriging Model Variants for High-Fidelity Uncertainty Quantification in Dynamics of composite Shells (2016)A Critical Assessment of Krig…An Adaptive Bayesian Sequential Sampling Approach for Global Metamodeling (2015)An Adaptive Bayesian Sequenti…Sequential Exploration of Complex Surfaces Using Minimum Energy Designs (2014)Sequential Exploration of Com…Interpolation of spatial data – A stochastic or a deterministic problem? (2013)Interpolation of spatial data…Cross-validation based single response adaptive design of experiments for Kriging metamodeling of deterministic computer simulations (2013)Cross-validation based single…Analysis of Computer Experiments With Functional Response (2013)Analysis of Computer Experime…Two-Stage Sensitivity-Based Group Screening in Computer Experiments (2012)Two-Stage Sensitivity-Based G…Sequential Design and Analysis of High-Accuracy and Low-Accuracy Computer Codes (2012)Sequential Design and Analysi…Regression-Based Inverse Distance Weighting With Applications to Computer Experiments (2011)Regression-Based Inverse Dist…Computer experiments: a review (2010)Computer experiments: a reviewConstrained optimization in expensive simulation: Novel approach (2009)Constrained optimization in e…Better simulation metamodeling: The why, what, and how of stochastic kriging (2009)Better simulation metamodelin…THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Applications of Statistics to Industrial Experimentation (1976)Statistics for Experimenters (1979)AN OVERVIEW OF TAGUCHI METHOD AND NEWLY DEVELOPED STATISTICAL METHODS FOR ROBUST DESIGN (1992)Construction of Supersaturated Designs Through Partially Aliased Interactions (1993)A Bayesian Variable-Selection Approach for Analyzing Designed Experiments With Complex Aliasing (1997)Quality Engineering Using Robust Design (1991)Statistical volume element method for predicting microstructure–constitutive property relations (2008)Efficient structural reliability analysis method based on advanced Kriging model (2014)Surrogate-assisted global sensitivity analysis: an overview (2020)Simulation Modeling and Analysis. (1983)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Minimax and maximin distance designs (1990)Experimental Design and Observation for Large Systems (1996)Simulation metamodels (1998)Optimal experimental design and some related control problems (2007)STATISTICS FOR SPATIAL DATA (1992)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Calculations of Sobol indices for the Gaussian process metamodel (2008)Efficient surrogate models for reliability analysis of systems with multiple failure modes (2011)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)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 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)Robust Design for Multiscale and Multidisciplinary Applications (2006)Optimal Sliced Latin Hypercube Designs (2014)Designing Valid and Reliable Vignette Experiments for Survey Research: A Case Study on the Fair Gender Income Gap (2017)Response Surface Methodology (2002)Response-Surface Methods in R , Using rsm (2009)The generalization of Latin hypercube sampling (2015)
this work references cited by second hop

References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2005Design and Modeling for Computer Experiments1,135 cited
  • 2001Experiments - Planning, Analysis and Parameter Design Optimization1,132 cited
  • 1989Designs for Computer Experiments970 cited
  • 2005Use of Kriging Models to Approximate Deterministic Computer Models840 cited
  • 1992Screening, Predicting, and Computer Experiments633 cited
  • 2021Experiments409 cited
  • 1992Analysis of Designed Experiments with Complex Aliasing353 cited
  • 1991Bayesian design and analysis of computer experiments: Use of derivatives in surface prediction276 cited
  • 2004Analytical Variance-Based Global Sensitivity Analysis in Simulation-Based Design Under Uncertainty230 cited
  • 2005Understanding the Effects of Model Uncertainty in Robust Design With Computer Experiments157 cited

Cited by

  • 2022A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization183 cited
  • 2016A Critical Assessment of Kriging Model Variants for High-Fidelity Uncertainty Quantification in Dynamics of composite Shells136 cited
  • 2012Sequential Design and Analysis of High-Accuracy and Low-Accuracy Computer Codes130 cited
  • 2013

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Cross-validation based single response adaptive design of experiments for Kriging metamodeling of deterministic computer simulations
128 cited
  • 2009Constrained optimization in expensive simulation: Novel approach128 cited
  • 2020Reliability analysis with stratified importance sampling based on adaptive Kriging127 cited
  • 2013Interpolation of spatial data – A stochastic or a deterministic problem?121 cited
  • 2014Sequential Exploration of Complex Surfaces Using Minimum Energy Designs107 cited
  • 2018A sequential surrogate method for reliability analysis based on radial basis function102 cited
  • 2010Computer experiments: a review100 cited
  • 2009Better simulation metamodeling: The why, what, and how of stochastic kriging92 cited
  • 2012Two-Stage Sensitivity-Based Group Screening in Computer Experiments68 cited
  • 2015An Adaptive Bayesian Sequential Sampling Approach for Global Metamodeling68 cited
  • 2011Regression-Based Inverse Distance Weighting With Applications to Computer Experiments67 cited
  • 2013Analysis of Computer Experiments With Functional Response56 cited
  • 2020Basic Framework and Main Methods of Uncertainty Quantification52 cited