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.