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Calibration of tuning parameters in the FRAPCON model
6 references·0 citing·23 second hop
Calibration of tuning parameters in the FRAPCON model (2012)Calibration of tuning parameters in the F…A Bayesian calibration approach to the thermal problem (2008)A Bayesian calibration approa…A Framework for Validation of Computer Models (2007)A Framework for Validation of…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…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 for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)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)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)Calibration, validation, and sensitivity analysis: What's what (2006)Measures of agreement between computation and experiment: Validation metrics (2006)Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability (2012)The Design and Analysis of Computer Experiments (2003)A hierarchical framework for statistical model calibration in engineering product development (2010)Review of statistical model calibration and validation—from the perspective of uncertainty structures (2019)A sequential calibration and validation framework for model uncertainty quantification and reduction (2020)Minimax and maximin distance designs (1990)Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)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)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)
this work references cited by second hop

References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2004Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach1,085 cited
  • 2007A Framework for Validation of Computer Models656 cited
  • 2004Combining Field Data and Computer Simulations for Calibration and Prediction622 cited
  • 2006Variable Selection for Gaussian Process Models in Computer Experiments167 cited
  • 2008A Bayesian calibration approach to the thermal problem132 cited

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