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Ulrike Schneider
Ulrike Schneider
Geverifieerd e-mailadres voor tuwien.ac.at
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On the distribution of the adaptive LASSO estimator
BM Pötscher, U Schneider
Journal of Statistical Planning and Inference 139 (8), 2775-2790, 2009
892009
Confidence sets based on penalized maximum likelihood estimators in Gaussian regression
BM Pötscher, U Schneider
502010
Catching growth determinants with the adaptive lasso
U Schneider, M Wagner
German Economic Review 13 (1), 71-85, 2012
312012
The geometry of uniqueness, sparsity and clustering in penalized estimation
U Schneider, P Tardivel
Journal of Machine Learning Research 23 (331), 1-36, 2022
262022
Spatial models for the distribution of extremes
E Gilleland, D Nychka, U Schneider
Hierarchical Modelling for the Environmental Sciences: Statistical Methods …, 2006
252006
Uniformly valid confidence sets based on the Lasso
K Ewald, U Schneider
212018
Shift and scale coupling methods for perfect simulation
JN Corcoran, U Schneider
Probability in the Engineering and Informational Sciences 17 (3), 277-303, 2003
192003
Distributional results for thresholding estimators in high-dimensional Gaussian regression models
BM Pötscher, U Schneider
172011
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
162004
A tabu search tutorial based on a real-world scheduling problem
U Schneider
Central European Journal of Operations Research 19 (4), 467-493, 2011
152011
On the distribution, model selection properties and uniqueness of the lasso estimator in low and high dimensions
K Ewald, U Schneider
142020
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
122006
Confidence sets based on thresholding estimators in high-dimensional Gaussian regression models
U Schneider
Econometric Reviews 35 (8-10), 1412-1455, 2016
112016
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
92017
Catching growth determinants with the adaptive lasso
U Schneider, M Wagner
wiiw Working Paper, 2009
82009
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
72020
Confidence sets based on penalized maximum likelihood estimators
BM Pötscher, U Schneider
72008
Pattern Recovery in Penalized and Thresholded Estimation and its Geometry
P Graczyk, U Schneider, T Skalski, P Tardivel
arXiv preprint arXiv:2307.10158, 2023
52023
The Geometry of Model Recovery by Penalized and Thresholded Estimators
P Tardivel, T Skalski, P Graczyk, U Schneider
52021
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
52010
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Artikelen 1–20