I. Introduction
To quantify the parameter uncertainty in data-driven modeling, usually a probabilistic description is used. The parameter uncertainty can then be quantified by the inverse of the Fisher Information Matrix [1]. However, for this a known probability density function (PDF) is required, or a large amount of data is needed for its estimation, which is often not given in practical applications.