Assoc.Prof. Ulrike Schneider
General Information
Position: Assoc. Prof. (head of research unit, head of institute)
Office hours: by appointment
Contact: Wiedner Hauptstraße 8-10, 4th floor, yellow area, A - 1040 Wien
Current research interests
- Model selection in econometrics and statistics
- Inference after model selection
- Lasso methods, shrinkage estimators
- Geometric aspects in penalized estimation
Education
- Ph.D. (Applied Mathematics) University of Colorado at Boulder, 2003
- Mag.rer.nat. (M.Sc., Mathematics), University of Vienna, 1999
Academic Positions
- Associate Professor, Institute of Statistics and Mathematical Methods in Economics, TU Wien, 2015 -
- Assistant Professor, Institute of Mathematical Methods in Economics, TU Wien, 2011 - 2015
- Junior Professor, Institute for Mathematical Stochastics, University of Göttingen, 2009 - 2011
- Assistant Professor (non-tenure track), Department of Statistics, University of Vienna, 2006 - 2009
- Postdoc, National Center for Atmospheric Research (NCAR), Boulder, Colorado, 2003 - 2005
Scientific Activities
- Editor-in-Chief for Statistical Papers.
Teaching Summer Semester 2025
Recent publications
Preprints
- P. Graczyk, U. Schneider, T. Skalski and P. Tardivel, A Unified Framework for Pattern Recovery in Penalized and Thresholded Estimation and its Geometry; arxiv:2307.10158.
Journal articles
- P. Kramlinger, T. Krivobokova and U. Schneider, Uniformly Valid Inference Based on the Lasso in Linear Mixed Models; Journal of Multivariate Analysis 198 (2023), 105230.
- U. Schneider and P. Tardivel, The Geometry of Uniqueness, Sparsity and Clustering in Penalized Estimation; Journal of Machine Learning Research 23 (2022), 1 - 36.
- N. Amann and U. Schneider, Uniform Asymptotics and Confidence Regions Based on the Adaptive Lasso with Partially Consistent Turning; forthcoming in Econometric Theory, forthcoming.
- K. Ewald and U. Schneider, On the Distribution, Model Selection Properties and Uniqueness of the Lasso Estimator in Low and High Dimensions; Electronic Journal of Statistics 14 (2020) 944 - 969.
- K. Ewald and U. Schneider, Uniformly Valid Confidence Sets Based on the Lasso; Electronic Journal of Statistics 12 (2018) 1358 - 1387.
Full publication list (pdf), opens an external URL in a new window