Contributions to the GPSD 2023

We have four short lectures at the 16th German Probability and Statistics Days: The DeepCAR method: forecasting time-series data that have change points (presenter: Ayla), Lag selection and estimation of stable parameters for multiple autoregressive processes through convex programming (Somnath), Reducing computational and statistical complexity in machine learning through cardinality sparsity (Ali), and Extremes in high dimensions: statistical theories and scalable algorithms (M. Oesting, Stuttgart). Johannes co-organizes the sessions on Computational and high-dimensional statistics (with D. Rudolf, Passau). Looking forward to the conference!