!!Sara van de Geer - Selected Publications
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Nickl, R., van de Geer, S., and Wang, S. (2020): Convergence rates for penalised least squares estimators in PDE-constrained regression problems. To appear in:  SIAM/ASA Journal on Uncertainty Quantification.\\
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Elsener, A. and van de Geer, S. (2019): Sharp oracle inequalities for stationary points of nonconvex M-estimators. IEEE Transactions on Information Theory 65, 1452-1472.\\
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Elsener, A. and van de Geer, S. (2018): Robust low-rank matrix estimation. Annals of Statistics 46, 3481-3509.\\
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Jankovà, J. and van de Geer, S. (2018): Semiparametric efficiency bounds for high-dimensional models. Annals of Statistics 46, 2336-2359.\\
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van de Geer, S., Buehlmann, P., Ritov, Y.,  and Dezeure, R. (2014): On asymptotically optimal confidence regions and tests for high-dimensional models. Annals of Statistics 42, 1166-1202. \\
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Mammen, E. and van de Geer, S. (1997): Locally adaptive regression splines, Annals of Statistics 25, 387-413 .\\
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van de Geer, S.: Estimation and Testing Under Sparsity. École d'Eté de Probabilités de Saint Flour XLV-2016, Springer Science & Business Media. \\
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Buehlmann, P. and van de Geer, S. (2011): Statistics for High-Dimensional Data: Methods, Theory and Applications. Springer.\\
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van de Geer, S. (2000): Empirical Processes in M-Estimation, Cambridge University Press.