The research interest of the working group lies in the development and investigation of methodology in the area of computational statistics. This contains the analysis as well as the construction of randomized algorithms for being able to extract knowledge out of data. At the moment the focus lies on questions in the area of Bayesian inference, uncertainty quantification, Markov chain Monte Carlo as well as on aspects of information based complexity.
