Resampling and model validation for spatio-temporal data (A03)

• Subject Area: Statistics and Econometrics ; Mathematics
• Term: since 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 520388526

Resampling and model validation for spatio-temporal data employs complexity-reducing structural assumptions to construct resampling-based inference procedures and develops statistical tools to quantify deviations from such assumptions. A particular focus is on methods that allow to differentiate practically relevant and non-relevant deviations from simplifying assumptions such as, e.g., separability or low-rank approximations. In the long term, this project investigates resampling and model validation for multi-resolution approximations, high-dimensional modeling, and statistical inference for complex non-stationary spatio-temporal data.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 391: Spatio-temporal Statistics for the Transition of Energy and Transport
• Applicant Institution: Technische Universität Dortmund
• Project Heads: Professor Dr. Holger Dette, since 7/2024; Professor Dr. Carsten Jentsch, since 7/2024