Remarks on uncertainty assessment and management in modeling and computation

We discuss questions related to uncertainty in scientific computations for mathematical models. A computationally tractable probabilistic framework to treat uncertainty in the estimation of parameters or inverse problems is given. The theory is illustrated by a simple computational example for the estimation of constant parameters in differential equations by treating the parameters as random variables.