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Calibration experiment design optimization (CEDO) seeks to identify the optimal values of experimental inputs in order to maximize the obtained information within testing budget constraints. Current CEDO methods only consider observation errors and focus on problems with low-dimensional response variables. This paper proposes a new robust CEDO model for Bayesian calibration with field response and...
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