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Abstract:
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The calibration of computer models using physical experimental data has received compelling interest in the last decade. Recently, multiple works have addressed the functional calibration of computer models, wherein the calibration parameters vary in physical reality as unknown functions of the input variables, rather than taking a set of fixed values as traditionally treated in the literature. While most recent work on functional calibration focused on estimation, this paper focuses on the issue of sequential design. We investigate different sequential design approaches and show that the simple separate design approach has practical merit when designing for functional calibration. Analysis is carried out on multiple simulated and real examples.
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