Quantifying Uncertainties in Physical Models
Increasing modeling detail is not necessarily correlated with increasing predictive ability. Setting modeling and numerical discretization errors aside, the more detailed a model gets, the larger the number of parameters required to accurately specify its initial/boundary conditions, constitutive laws, external forcing, object geometries, etc. To be predictive, we need to quantify this uncertainty by combining our prior physical knowledge with noisy experimental data obtained from various heterogeneous sources....
Matthew John M. Krane onto UQ