A Probabilistic Approach to Identifiability

The structural properties of the probabilistic coupling between the unknown parameters of a dynamical system and the observation process are studied. Basic tools for the analysis are the dual concepts of sufficient and observable statistics introduced in the paper. If the observation noise acts in an additive fashion then the transition probability admits a density displaying an exponential family — like structure.