To content
TC02

High Dimensions and Regularization

TC02 is organized by projects A02 and C01. It combines our interests on inference tools for high-dimensional data collected at many locations and time points using flexible spatio-temporal models with a large number of parameters.  It addresses

Icon of topic circle 2 © Sara Cyronek​​/​​TU Dortmund
TC Workshop

Spatio-temporal Statistics in High Dimensions

The workshop "Spatio-temporal Statistics in High Dimensions" took place from November 27 to 28, 2025, at TU Dortmund University. Bringing together more than 30 researchers focused on high-dimensional and regularized statistical methodology, the workshop offered a rich program with invited and contributed talks covering cutting-edge topics such as high-dimensional regularization, spatio-temporal covariance estimation, distribution- and copula-based forecasting, VAR and cointegration models, and probabilistic modelling for energy, climate and beyond. With participants from different backgrounds, the workshop provided an ideal platform to discuss methodological innovations relevant for the analysis of complex spatio-temporal data – from climate modeling over energy system forecasting to multivariate time series and extremes.

Program