Projects
of spatio-temporal data and develop broadly applicable new statistical methodology with a focus on design of experiments, high-dimensional inference, resampling, model validation, monitoring, deep learning [...] modeling . The projects in Area B and Area C develop and apply tailor-made inference and data analysis tools for problems arising in the transport of energy and goods , and new econometric methodology for monitoring [...] will be broadly applicable for solving data analytic problems also outside TRR 391. A01 Optimal designs for spatio-temporal data lead by Holger Dette (Ruhr University Bochum), Kirsten Schorning (TU Dortmund …
