Sara van de Geer - Selected Publications#

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.

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.

Elsener, A. and van de Geer, S. (2018): Robust low-rank matrix estimation. Annals of Statistics 46, 3481-3509.

Jankovà, J. and van de Geer, S. (2018): Semiparametric efficiency bounds for high-dimensional models. Annals of Statistics 46, 2336-2359.

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.

Mammen, E. and van de Geer, S. (1997): Locally adaptive regression splines, Annals of Statistics 25, 387-413 .

van de Geer, S.: Estimation and Testing Under Sparsity. École d'Eté de Probabilités de Saint Flour XLV-2016, Springer Science & Business Media.

Buehlmann, P. and van de Geer, S. (2011): Statistics for High-Dimensional Data: Methods, Theory and Applications. Springer.

van de Geer, S. (2000): Empirical Processes in M-Estimation, Cambridge University Press.