Statistical Learning

The team Statistical Learning develops practice-oriented applications of statistical methods in economics, natural and social sciences. Estimation and testing methods as well as the construction of interpretable models play an important role. The aim is always to gain valuable insights from data, for example to save resources and costs or to increase benefits and efficiency through sophisticated forecasts.


Postdoc-Position: Jonathan Ansari

Bild J. Ansari

Dr. Jonathan Ansari is leading the team Statistical Learning. After completing his doctorate in mathematics, he focused on statistics, dependency modelling, risk analysis and financial mathematics. Initially, he researched and taught at the University of Freiburg in the field of quantitative finance. He is also working at PLUS as part of the FWF-project “ReDim” (PI: S. Fuchs) on quantifying dependencies via dimensionality reduction.

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