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A D-Optimal Sequential Calibration Design for Computer Models

Author

Listed:
  • Huaimin Diao

    (School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, China)

  • Yan Wang

    (School of Statistics and Data Science, Beijing University of Technology, Beijing 100124, China)

  • Dianpeng Wang

    (School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, China)

Abstract

The problem with computer model calibration by tuning the parameters associated with computer models is significant in many engineering and scientific applications. Although several methods have been established to estimate the calibration parameters, research focusing on the design of calibration parameters remains limited. Therefore, this paper proposes a sequential computer experiment design based on the D-optimal criterion, which can efficiently tune the calibration parameters while improving the prediction ability of the calibrated computer model. Numerical comparisons of the simulated and real data demonstrate the efficiency of the proposed technique.

Suggested Citation

  • Huaimin Diao & Yan Wang & Dianpeng Wang, 2022. "A D-Optimal Sequential Calibration Design for Computer Models," Mathematics, MDPI, vol. 10(9), pages 1-15, April.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:9:p:1375-:d:797772
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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