Linear dynamical models are ubiquitous in sciences and engineering, where they describe all sorts of phenomena, which allows one to analyze, predict, or control the behavior of the underlying system through these models. For various reasons, it is not always possible to obtain such models from first principles. In such cases, one may resort to fitting a model from measurement data, a practice called system identification. This practice is more of an art than a science, relying on statistical ass