HITS Colloquium Michael Baake – The Markov embedding problem – old and new
by Michael Baake, Fakultät für Mathematik, Universität Bielefeld Markov matrices are a widely used tool for the empirical description of real-world data, which are usually sampled in discrete time steps. Since the underlying processes may (and often do) run in continuous time, one needs some time interpolation consistency, as the Finnish statistician Gustav […]