Prof. Dr. Tilmann Gneiting
Group Leader Computational StatisticsContact
Phone: +49 6221 – 533 – 287
Fax: +49 6221 – 533 – 298
Group leader, Computational Statistics (CST) at HITS
Professor of Computational Statistics, Institute for Stochastics at the Karlsruhe Institute of Technology (KIT)
Research Interests
Statistics and Probability; Spatial and Spatio-temporal Modeling; Theory and Practice of Forecasting; with applications in Atmospheric, Environmental and Earth Sciences, Economics, and Finance, among other areas
Curriculum Vitae
since 2013 Group leader, Computational Statistics (CST), Heidelberg Institute for Theoretical Studies
since 2013 Professor of Computational Statistics, Institute for Stochastics, Karlsruhe Institute of Technology
since 2010 Affiliate Professor of Statistics, University of Washington, Seattle, US
2009-2013 Professor of Mathematical Statistics, Heidelberg University, Germany
2007-2009 Professor of Statistics, University of Washington, Seattle, US
2003-2007 Associate Professor of Statistics, University of Washington, Seattle, US
1998-2003 Assistant Professor of Statistics, University of Washington, Seattle, US
1997-1998 Acting Assistant Professor of Statistics, University of Washington, Seattle, US
1997 PhD in Mathematics, University of Bayreuth, Germany
1993 Diplom in Mathematics, University of Bayreuth, Germany
1992 M.A. in Mathematics, Boston University, US
Editorial Activities
2016-2018 Editor-In-Chief, Annals of Applied Statistics
2014-2015 Senior Editor, Annals of Applied Statistics
2013-2014 Guest Editor, Nonlinear Processes in Geophysics
2011-2014 Editor for Physical Science, Computation, Engineering and the Environment, Annals of Applied Statistics
2010 Associate Editor, Annals of Statistics
2009-2010 Associate Editor, Environmetrics
2009-2010 Associate Editor, Weather and Forecasting
2008-2010 Associate Editor, Annals of Applied Statistics
2006-2009 Associate Editor, Journal of the Royal Statistical Society Series B: Statistical Methodology
Awards and Honors
2014-2020 Fellow, European Centre for Medium-Range Weather Forecasts (ECMWF)
2012-2018 Advanced Grant, European Research Council (ERC)
2017 Highly Cited Researcher in Mathematics for 2005-2015, Clarivate Analytics
2017 Fellow, American Statistical Association
2016 Highly Cited Researcher in Mathematics for 2004-2014, Clarivate Analytics (formerly Thomson Reuters)
2015 Read Paper (joint with Werner Ehm, Alexander Jordan and Fabian Krüger), Royal Statistical Society, London (UK), 9 December 2015
2015 Highly Cited Researcher in Mathematics for 2003-2013, Thomson Reuters
2015 Distinguished Achievement Medal, American Statistical Association Section on Statistics and the Environment
2014 Highly Cited Researcher in Mathematics for 2002-2012, Thomson Reuters
2011 Outstanding Paper Award, International Institute of Forecasters
2010 Fellow, Institute of Mathematical Statistics
2005 Richard L. Tweedie New Researcher Award, Institute of Mathematical Statistics
2002 Early Career Award, National Science Foundation, US
1991-1992 Fulbright Scholarship
Publications
Please see my Google Scholar profile
2019
- Feldmann K, Richardson DS, Gneiting T (2019). Grid- versus station-based postprocessing of ensemble temperature forecasts, Geophys. Res. Lett. 46(13):7744-7751 1005
- Brehmer JR, Gneiting T (2019). Properization: Constructing proper scoring rules via Bayes acts, Ann Inst Stat Math 1004
2018
- Gneiting T, Asher J, Carriquiry A, Davis R, Dawid AP, Efron B, Haberman S, Kou S, Newton M, Paddock S, Prewitt K, Raftery A, Stein M, Straf M (2018). Special section in memory of Stephen E. Fienberg (1942–2016). AOAS Editor-in-Chief 2013–2015., Annals of Applied Statistics, 12:iii–x 341
- Vogel P, Knippertz P, Fink AH, Schlueter A, Gneiting T (2018). Skill of global raw and postprocessed ensemble predictions of rainfall over northern tropical Africa, Weather and Forecasting, 33:369–388 344
2017
- Gneiting T (2017). When is the mode functional the Bayes classifier?, Stat, 6:204-206 225
- Lerch S, Thorarinsdottir TL, Ravazzolo F, Gneiting T (2017). Forecaster’s dilemma: Extreme events and forecast evaluation, Statistical Science, 32:106-127 229
2016
- Ehm W, Gneiting T, Jordan A, Krueger F (2016). Of quantiles and expectiles: Consistent scoring functions, Choquet representations and forecast rankings (with discussion and reply), Journal of the Royal Statistical Society Series: Statistical Methodology, 78:505-562 49
- Fissler T, Ziegel JF, Gneiting T (2016). Expected shortfall is jointly elicitable with value-at-risk: Implications for backtesting, Risk Magazine, January:58-61 143
2015
- Hansen L, Thorarinsdottir T, Ovcharov E, Gneiting T, Richards D (2015). Gaussian random particles with flexible Hausdorff dimension, Advances in Applied Probability, 47:307-327 52
2014
- Dueck J, Edelmann D, Gneiting T, Richards D (2014). The affinely invariant distance correlation, Bernoulli 20(4):2305-2330 1079
- Gneiting T, Katzfuss M (2014). Probabilistic Forecasting, Annu. Rev. Stat. Appl. 1(1):125-151 1080
- Richardson D, Hemri S, Bogner K, Gneiting T, Haiden T, Pappenberger F, Scheuerer M (2014). Calibration of ECMWF Forecasts, ECMWF Newsletter, 142:12-16, 2014/15 56
- Scheuerer M, Gneiting T (2014). Evaluating Predictive Performance, Mathematics of Planet Earth,pp.15-18,Springer Berlin Heidelberg 1082
- Ziegel JF, Gneiting T (2014). Copula calibration, Electron. J. Statist. 8(2):2619-2638 1083
2013
- Schefzik R, Thorarinsdottir TL, Gneiting T (2013). Uncertainty Quantification in Complex Simulation Models Using Ensemble Copula Coupling, Statist. Sci. 28(4):616-640 1087
- Gneiting T (2013). Strictly and non-strictly positive definite functions on spheres, Bernoulli 19(4):1327-1349 1084
- Sloughter JM, Gneiting T, Raftery AE (2013). Probabilistic Wind Vector Forecasting Using Ensembles and Bayesian Model Averaging, Mon. Wea. Rev. 141(6):2107-2119 1088
- Gneiting T, Ranjan R (2013). Combining predictive distributions, Electron. J. Statist. 7(0):1747-1782 1085
- Grant K, Gneiting T (2013). Consistent scoring functions for quantiles, From Probability to Statistics and Back: High-Dimensional Models and Processes — A Festschrift in Honor of Jon A. Wellner,pp.163-173,Institute of Mathematical Statistics 1086
- Thorarinsdottir TL, Gneiting T, Gissibl N (2013). Using Proper Divergence Functions to Evaluate Climate Models, SIAM/ASA J. Uncertainty Quantification 1(1):522-534 1089
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