Modeling Uncertainty: Some Conceptual Thoughts

The place of random experiments and stochastic models in experimental sciences is discussed first. Models of uncertainty are necessarily based on prior decisions about the randomization of either the unknown itself and/or its estimate and, as such, cannot claim to any objectivity. A safeguard for building such models is to charge them maximally with data deemed relevant to the “unknown” at hand.