Fig. 5From: Bayesian calibration of coupled computational mechanics models under uncertainty based on interface deformationLikelihoods for different surface measure distances with \(n_\textrm{train}= 1000\). a Euclidean distance at measurement points, b closest point projection distances, c RKHS norm. Normalized for better comparability. Training samples as circles for successful and gray crosses (on the left side) for failed forward model evaluationsBack to article page