In this project the paradigm of imprecise
probabilities (expertise 1st promotor) is applied to stochastic processes that are usually described by ‘common’, i.e. precise, probability theory. The
targeted application is on processes that occur in queueing systems (expertise of 2nd and 3rd promotor). The new treatment allows us to quantify the belief we can put in results from classic queueing analysis in the presence of model uncertainty.