Data Science and Dependence

The main topic of this workshop are recent advances from machine learning in the context of dependent data. This includes neural networks, trees, dynamic network analysis and high dimensional forecasting. These topics shall be discussed in particular in the presence of stochastic dependence from a statistical point of view. 

Kontakt:

Prof. Dr. Rainer Dahlhaus
Institut für Angewandte Mathematik
Im Neuenheimer Feld 205
Universität Heidelberg
69120 Heidelberg

dahlhaus(at)statlab.uni-heidelberg.de

Programme