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Simultaneous Determination of Tuning and Calibration Parameters for Computer Experiments

Summary: [This abstract is based on the authors' abstract.] A statistical methodology is proposed for improving the ability of a computer simulation code to represent a physical phenomenon by simultaneously determining tuning and calibration parameters where data are available from a computer code and the associated physical experiment. The proposed model views the output as a Gaussian stochastic process with hyperpriors. The methodology is compared with an alternative approach and illustrated in a biomechanical engineering application. Supplemental materials are available online.

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  • Topics: Statistics, Design of Experiments
  • Keywords: Computer models, Calibration, Gaussian curve, Stochastic models, Bayesian methods, Kriging
  • Author: Han, Gang; Santner, Thomas J.; Rawlinson, Jeremy J.
  • Journal: Technometrics