Computational Statistics (CST)
The Computational Statistics group at HITS was established in November 2013, when Tilmann Gneiting was appointed group leader and Professor of Computational Statistics at the Karlsruhe Institute of Technology (KIT). It conducts research in two main areas:
- the theory and practice of forecasting
- spatial and spatio-temporal statistics
The group’s current focus is on probabilistic forecasting. As the future is uncertain, forecasts should be probabilistic in nature, i.e., they should take the form of probability distributions over future quantities or events. Accordingly, we are witnessing a transdisciplinary change of paradigms from deterministic or point forecasts to probabilistic forecasts. The CST group seeks to provide guidance and leadership in this transition by developing both the theoretical foundations of the science of forecasting and cutting-edge statistical methodology, along with applications. Weather forecasting is a key example. In this context, the group maintains research contacts and collaborative relations with national and international hydrologic and meteorological organizations, including the German Weather Service, the German Federal Institute of Hydrology, and the European Centre for Medium-Range Weather Forecasts.