Presented at the University of Oviedo (), 11/11/2019.

**Abstract**
The dynamics of a stochastic processes are often characterised by a single parameter; for instance, the transition matrix of a discrete-time Markov chain or the rate of a Poisson process.
However, one cannot always determine or specify this parameter precisely.
In this talk, I will consider the case that one can only specify a set of possible parameter values instead of a single precise value.
It is precisely this case that is at the core of the theory of imprecise stochastic processes—part of the theory of imprecise probabilities.