Christian Alexander Scholbeck

About

I started my position as a research associate and doctoral candidate in Statistics and Machine Learning in March 2019. I am jointly affiliated with the working group Methods for Missing Data, Model Selection and Model Averaging and the working group Computational Statistics at the Department of Statistics at Ludwigs-Maximilians-University Munich. My research focuses on Interpretable Machine Learning. Since 2016, I've been involved with the working group for Computational Statistics as a student assistant while pursuing my graduate studies. I hold degrees in Statistics (M.Sc.) and Economics (B.Sc.) from Ludwigs-Maximilians-University Munich.

Contact

Institut für Statistik

Ludwig-Maximilians-Universität München

Ludwigstraße 33

D-80539 München

Room 459, 4th floor

Phone: +49 89 2180 2925

christian.scholbeck [at] stat.uni-muenchen.de

Research Interests

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References

  1. Scholbeck CA, Molnar C, Heumann C, Bischl B, Casalicchio G (2019) Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations. arXiv preprint arXiv:1904.03959. link | pdf .