معرفی
Jan Rabenseifner is a Scientific Assistant at the University of Hamburg Business School's Institute of Mathematics and Statistics. His research focuses on causal inference, forecast evaluation in high-dimensional settings, and applications of deep learning and machine learning in economics and insurance science. He is affiliated with the Chair of Mathematics and Statistics with Application in Business Administration under Prof. Dr. Michael Merz.
Education:
- Since 2021: PhD in Statistics, University of Hamburg
- 2018: M.Sc. Economics, University of Konstanz
- 2016/17: Visiting Student, University of Connecticut (USA)
- 2014: B.Sc. Economics, University of Konstanz
Research Interests:
- Developing statistical methodologies for causal analysis and high-dimensional forecasting
- Integration of machine learning techniques in economic and insurance modeling
Team Affiliation: Part of Prof. Dr. Michael Merz's team, collaborating with researchers like Dr. Nha-Nghi de la Cruz and M.Sc. Max Lüdecke.
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