The chair of statistics conducts research in the context of Machine Learning and Deep Learning. A list of current research projects and recent pubilcations can be found here. The projects are concerned with theoretical analysis of machine learning, e.g. how these methods can be used to perform valid causal inference, or with applications in economics and business, for instance estimation of product demand or nonlinear price modeling. The chair of statistics is interested in a knowledge transfer with companies and public organizations to establish modern statistical methods in real-life use cases.
Main Research Institute of Statistics
- Statistics, Econometrics and Machine Learning
- Big Data and Data Science
- Particularly highdimensional and nonparametrical Statistics
- Fileds of application: Health Economics, Insurance, Finance and Risk Management
Code and supplemental materials related to research projects and publications are available here.