Learning about physical parameters: the importance of model discrepancy

• Published in: Inverse problems Vol. 30; no. 11; pp. 114007 - 114030
• Main Authors: Brynjarsdottir, Jenny, OHagan, Anthony
• Format: Journal Article
• Language: English
• Published: IOP Publishing 01.11.2014
• Subjects: Accounting; Calibration; computer models; Computer simulation; extrapolation; Gaussian; Inverse problems; Learning; Mathematical models; model form error; Physical properties; simulation model; structural uncertainty; uncertainty quantification

Science-based simulation models are widely used to predict the behavior of complex physical systems. It is also common to use observations of the physical system to solve the inverse problem, that is, to learn about the values of parameters within the model, a process which is often called calibrati...