Tilmann Gneiting
Professor of Mathematical Statistics
Phone: +49 (6221) 54-4990
E-Mail: t.gneiting (at) uni-heidelberg.de
Address: Institut für Angewandte Mathematik
Universität Heidelberg
Im Neuenheimer Feld 294
69120 Heidelberg

Tilmann Gneiting

Tilmann Gneiting is Professor of Mathematical Statistics in the Institute of Applied Mathematics at the University of Heidelberg in Germany, and Affiliate Professor of Statistics in the Department of Statistics at the University of Washington in Seattle (USA). His research interests center on statistical methodology, probability theory, and forecasting, with applications in the atmospheric, environmental and geophysical sciences and economics, among other disciplines. In particular, he has worked on probabilistic weather prediction and wind energy forecasting. Tilmann is a recipient of a National Science Foundation Career Award (2002-2007) and of the Institute of Mathematical Statistics' inaugural Richard Tweedie New Researcher Award (2005). He serves as editor for physical science, computation, engineering and the environment at the Annals of Applied Statistics.

Tilmann's work is supported by the Alfried Krupp von Bohlen und Halbach-Stiftung via the program "Rückkehr deutscher Wissenschaftler aus dem Ausland", which is organized by the German Scholars Organization.


December 2011: Tilmann Gneiting receives an Advanced Grant from the European Research Council (ERC) for a project on The Science of Forecasting: Probabilistic Foundations, Statistical Methodology and Applications.


Click here for a listing of my published and accepted papers.

Recent preprints

Gneiting, T. (2011). Strictly and non-strictly positive definite functions on spheres. Preprint, arXiv:1111.7077.

Gneiting, T. (2012). On the Cover-Hart inequality: What's a sample of size one worth?. Preprint, arXiv:1206.3381.

Gneiting, T. and Ranjan, R. (2011). Combining predictive distributions. Preprint, arXiv:1106.1638.

Gneiting, T. and Thorarinsdottir, T. L. (2010). Predicting inflation: Professional experts versus no-change forecasts. Preprint, arXiv:1010.2318.

Hansen, L., Thorarinsdottir, T. L., Gneiting, T. and Richards, D. (2012). Levy particles: Modeling and simulating star-shaped random particles. Research Report 04/2011, Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University.

Information for visitors

My office is in room 201 in the Institut für Angewandte Mathematik (building INF 294) on the campus Neuenheimer Feld. Click here for directions to the Neuenheimer Feld.

Teaching and advising

Vorlesung Statistik II: Statistical Forecasting im Sommersemester 2012
Seminar Probabilistische Vorhersagen im Sommersemester 2012

Vorlesung Wahrscheinlichkeitstheorie II im Wintersemester 2012/13
Seminar Positiv definite Funktionen im Wintersemester 2012/13

Informationen für Studierende der Mathematik an der Universität Heidelberg, die an einer Bachelor- oder Masterarbeit in unserer Arbeitsgruppe interessiert sind

Last modified 22 October 2012