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A Robust, Fully Adaptive M-estimator for Pointwise Estimation in Heteroscedastic Regression.
2012.
Michael Chichignoud und Johannes Lederer.
[doi]
[BibTeX]
How Correlations Influence Lasso Prediction.
, 2012.
Mohamed Hebiri und Johannes C. Lederer.
[doi]
[BibTeX]
The Smooth-Lasso and other l1 + l2-penalized methods.
Electron. J. Statist. , 5:1184-1226, 2011.
Mohamed Hebiri und Sara van de Geer.
[doi]
[BibTeX]
New Concentration Inequalities for Suprema of Empirical Processes.
2011.
Johannes Lederer und Sara van de Geer.
[doi]
[BibTeX]
Estimation for High-Dimensional Linear Mixed-Effects Models Using l1-Penalization.
Scand. J. Stat. , 38:197-214, 2011.
Jürg Schelldorfer, Peter Bühlmann und Sara A. van de Geer.
[doi]
[BibTeX]
The adaptive and the thresholded Lasso for potentially
misspecified models (and a lower bound for the Lasso).
Electron. J. Stat., 5:688-749, 2011.
Sara van de Geer, Peter Bühlmann und Shuheng Zhou.
[doi]
[BibTeX]
The Bernstein-Orlicz norm and deviation inequalities.
2011.
Sara van de Geer und Johannes Lederer.
[doi]
[BibTeX]
The Lasso, correlated design, and improved oracle inequalities.
2011.
Sara van de Geer und Johannes Lederer.
[doi]
[BibTeX]
Nemirovski's Inequalities Revisited.
American Mathematical Monthly, 117:138-160, 2010.
Lutz Dümbgen, Sara van de Geer, Mark C. Veraar und Jon A. Wellner.
[doi]
[BibTeX]
l1-Penalization for Mixture Regression Models (with discussion).
TEST , 19(2):209-285, 2010.
Nicolas Städler, Peter Bühlmann und Sara van de Geer.
[BibTeX]
Prediction and variable selection with the adaptive Lasso.
2010.
Sara van de Geer, Peter Bühlmann und Shuheng Zhou.
[doi]
[BibTeX]
The Lasso with within group structure.
In:
Nonparametrics and Robustness in Modern Statistical Inference and Time Series Analysis: A Festschrift in honor of Professor Jana Jurečková, Seiten 235-244.
2010.
Sara van de Geer.
[BibTeX]
Thresholded Lasso for high dimensional variable selection and statistical estimation.
2010.
Shuheng Zhou.
[doi]
[BibTeX]
Taking Advantage of Sparsity in Multi-Task Learning.
In: Proceedings of the 22nd Conference on Information Theory, Seiten 73-82.
2009.
Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov und Sara van de Geer.
[doi]
[BibTeX]
High-Dimensional Additive Modeling.
Ann. Statist., 37(6B):3779-3821, 2009.
Lukas Meier, Sara van de Geer und Peter Bühlmann.
[BibTeX]
On the conditions used to prove oracle results for the Lasso.
Electron. J. Statist., 3:1360-1392, 2009.
Sara A. van de Geer und Peter Bühlmann.
[BibTeX]
A Statistical Framework for Differential Privacy.
JASA, 105(489):375-389, 2009.
Larry Wasserman und Shuheng Zhou.
[BibTeX]
Restricted Eigenvalue Conditions on Subgaussian Random Matrices.
2009.
Shuheng Zhou.
[doi]
[BibTeX]
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation.
In: Advances in Neural Information Processing Systems, Band 22, Seiten 2304-2312.
2009.
Shuheng Zhou.
[doi]
[BibTeX]
General oracle inequalities for model selection.
Electron. J. Statist., 3:176-204, 2008.
Charles Mitchell und Sara van de Geer.
[BibTeX]
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