On the distribution of the adaptive LASSO estimator BM Pötscher, U Schneider Journal of Statistical Planning and Inference 139 (8), 2775-2790, 2009 | 89 | 2009 |
Confidence sets based on penalized maximum likelihood estimators in Gaussian regression BM Pötscher, U Schneider | 51 | 2010 |
Catching growth determinants with the adaptive lasso U Schneider, M Wagner German Economic Review 13 (1), 71-85, 2012 | 31 | 2012 |
The geometry of uniqueness, sparsity and clustering in penalized estimation U Schneider, P Tardivel Journal of Machine Learning Research 23 (331), 1-36, 2022 | 29 | 2022 |
Spatial models for the distribution of extremes E Gilleland, D Nychka, U Schneider Hierarchical Modelling for the Environmental Sciences: Statistical Methods …, 2006 | 25 | 2006 |
Uniformly valid confidence sets based on the Lasso K Ewald, U Schneider | 21 | 2018 |
Shift and scale coupling methods for perfect simulation JN Corcoran, U Schneider Probability in the Engineering and Informational Sciences 17 (3), 277-303, 2003 | 19 | 2003 |
Distributional results for thresholding estimators in high-dimensional Gaussian regression models BM Pötscher, U Schneider | 17 | 2011 |
Perfect sampling for Bayesian variable selection in a linear regression model U Schneider, JN Corcoran Journal of statistical planning and inference 126 (1), 153-171, 2004 | 16 | 2004 |
On the distribution, model selection properties and uniqueness of the lasso estimator in low and high dimensions K Ewald, U Schneider | 15 | 2020 |
A tabu search tutorial based on a real-world scheduling problem U Schneider Central European Journal of Operations Research 19 (4), 467-493, 2011 | 15 | 2011 |
Perfect stochastic summation in high order feynman graph expansions JN Corcoran, U Schneider, HB Schüttler International Journal of Modern Physics C 17 (11), 1527-1549, 2006 | 12 | 2006 |
Confidence sets based on thresholding estimators in high-dimensional Gaussian regression models U Schneider Econometric Reviews 35 (8-10), 1412-1455, 2016 | 11 | 2016 |
On the distribution, model selection properties and uniqueness of the lasso estimator in low and high dimensions U Schneider, K Ewald arXiv preprint arXiv:1708.09608 2 (2), 2017 | 9 | 2017 |
Catching growth determinants with the adaptive lasso U Schneider, M Wagner wiiw Working Paper, 2009 | 8 | 2009 |
The geometry of uniqueness and model selection of penalized estimators including SLOPE, LASSO, and basis pursuit U Schneider, P Tardivel arXiv preprint arXiv:2004.09106 20, 2020 | 7 | 2020 |
Confidence sets based on penalized maximum likelihood estimators BM Pötscher, U Schneider | 7 | 2008 |
Pattern Recovery in Penalized and Thresholded Estimation and its Geometry P Graczyk, U Schneider, T Skalski, P Tardivel arXiv preprint arXiv:2307.10158, 2023 | 6 | 2023 |
The Geometry of Model Recovery by Penalized and Thresholded Estimators P Tardivel, T Skalski, P Graczyk, U Schneider | 5 | 2021 |
Improving extreme quantile estimation via a folding procedure A You, U Schneider, A Guillou, P Naveau Journal of Statistical Planning and Inference 140 (7), 1775-1787, 2010 | 5 | 2010 |