Models and Computing

Our contributions follow the "think once, apply everywhere" principle. We are interested in the excavation of statistical core principles allowing us to understand a broad class of models under a unifying theoretical umbrella. Connections between superficially unconnected models or problems become visible, construction principles for addressing open issues can be derived, and computational issues affecting many estimation and inference procedures alike can be identified and, possibly, solved. 

Head: T. Hothorn (E-Mail)