Quantification of Uncertainty in Estimation

Models of physical processes rarely give an exact description of the system's response. Thus an important issue is the quantification of errors in model estimation due to model inadequacy. We show that this problem can be formulated using a Bayesian approach leading to simple formulae for model uncertainty. Techniques for minimizing the amount of computation are also discussed.