Beyond black-boxes in Bayesian inverse problems and model validation: applications in solid mechanics of elastography

The present paper is motivated by one of the most fundamental challenges in inverse problems, that of quantifying model discrepancies and errors. While significant strides have been made in calibrating model parameters, the overwhelming majority of pertinent methods is based on the assumption of a perfect model... (read more)

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