Stein Andreas Bethuelsen is an Assoc. Prof. in the Department of Mathematics at UiB. He is a probabilist working on unraveling the theoretical underpinnings of stochastic processes with application areas e.g. in physics and biology. A current focus is the study of random motion in random media, interacting particle systems, chains of infinite order and Gibbs measures.
Title: Markov chains and applications to data science
Abstract: In this talk I will briefly survey the basic theory of Markov chains and illustrate some of its fascinating applications to data science (such as the Markov chain Monte Carlo method).