Papers and (contribution to) books

2012

• Sara van de Geer and Marten Wegkamp (Editors) (2012) Selected Works of Willem van Zwet Springer
• Sara van de Geer and Johannes Lederer (To appear 2012) The Lasso, correlated design, and improved oracle inequalities. To appear in Annals of Applied Statistics

  2011

• Sara van de Geer, Peter Buehlmann and Shuheng Zhu (2011) The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso) Electronic Journal of Statistics 5, 688-749
• Peter Buehlmann and Sara van de Geer (2011) Statistics for High-Dimensional Data: Methods, Theory and Applications. Springer.
• Mohamed Hebiri and Sara van de Geer (2011) The smooth Lasso and other l1+l2penalized methods. Electronic Journal of Statistics, 5, 1184-1226.
• Karim Lounici, Massimiliano Pontil, Sara van de Geer and Alexandre B. Tsybakov (2011) Oracle inequalities and optimal inference under group sparsity. Annals of Statistics, 39 2164-2204.
• Juerg Schelldorfer, Peter Buehlmann and Sara van de Geer (2011). Estimation of high-dimensional linear mixed effects models using L1-penalization. Scandinavian Journal of Statistics 38, 197-214.
• Sara van de Geer (2011) Estimation: an Overview. In: International Encyclopedia of Statistical Sciences, Springer

  2010

• Sara van de Geer (2010) The Lasso with within group structure. In: Nonparametrics and Robustness in Modern Statistical Inference and Time Series Analysis: A Festschrift in Honor of Jana Jurecova, IMS Collections, 235-244.
• Sara A. van de Geer (2010) L1-Regularization in high-dimensional statistics. In: Proceedings of the International Congress of Mathematiciansm 2010
• Lutz Duembgen, Sara A. van de Geer, Marc C. Veraar and Jon A. Wellner (2010) Nemirovski's Inequalities Revisited. American Mathematical Monthly 117, 138-160.
• Nicolas Staedler, Peter Buehlmann and Sara van de Geer (2010). L1-penalization in mixture regression models. Test 19, 209-285 (with discussion).

  2009

• S.A. van de Geer and P. Buehlmann (2009). On the conditions used to prove oracle results for the Lasso. Electronic Journal of Statistics 3:1360-1392.
• C. Mitchell and S. van de Geer (2009). General oracle inequalities for model selection. Electronic Journal of Statistics 3, 176-204
• L. Meier, S. van de Geer and P. Buehlmann (2009). High- dimensional additive modeling. The Annals of Statistics 37, 3779-3821.
• K. Lounici, Massimiliano Pontil, A.B. Tsybakov and S.A. van de Geer (2009) Taking advantage of sparsity in multi-task learning. COLT 2009.

  2008

• B. Tarigan and S. van de Geer (2008). A moment bound for multicategory support vector machines. Journ. Machine Learning Research 9, 2171-2185.
• High-dimensional generalized linear models and the Lasso. The Annals of Statistics 36, 614-645.
• L. Meier, S. van de Geer and P. Buehlmann (2008). The group Lasso for logistic regression. JRSS, Series B, 70, 53-71.

  2007

• E. del Barrio, P. Deheuvels and S.A. van de Geer (2007). Lectures on Empirical Processes. EMS Series of Lectures in Mathematics, European Mathematical Society Publishing House (2007)
• On non-asymptotic bounds for estimation in generalized linear models with highly correlated design. IMS Lecture Notes Monograph Series, 55:121-134, 2007

  2006

• Testing against a high-dimensional alternative. Journ. Americ. Statist. Assoc. B 477-493 (2006), with J.J. Goeman and J.C. van Houwelingen.
• Classifiers of support vector machine type, with l_1 penalty . Bernoulli 12, 1045-1076 (2006), with B. Tarigan.
• Discussion of the paper " Local Rademacher complexities and oracle inequalities in riks minimization", by V. Koltchinskii, The Annals of Statistics 34 (2006).
• Diuscussion of the paper "Regularization in Statistics" by P. Bickel and B. Li, Test 15, 311-313 (2006).

  2005

• Square root penalty: adaptation to the margin in classification and in edge estimation. The Annals of Statistics 33, 1203-1224 (2005), with A.B. Tsybakov.
• Asymptotics in empirical risk minimization. Journal of Machine Learning Research 6, 2027-2047 (2005), with L. Mohammadi
• S. van de Geer (2005) Least squares estimators. In: Encyclopedia Statistics in The Behavioral Sciences, Eds. B. Everitt and D. Howell, Wiley
• S. van de Geer (2005). Estimation. In: Encyclopedia Statistics in The Behavioral Sciences, Eds. B. Everitt and D. Howell, Wiley 19

  2004

• Predicting survival using disease history: a model combining relative survival and frailty. Statistica Neerlandica 58, 21-34 (2004), with J.J. Goeman, S. le Sessie, R.J. Baatenburg de Jong.
• A global test for association of a group of genes with clinical outcome. Bioinformatics 20, 93-99 (2004), with J.J. Goeman, F. de Kort, and J.C. van Houwelingen.
• High-dimensional data: p > > n in mathematical statistics and biomedical applications. Bernoulli 10, 939-942 (2004), with J.C. van Houwelingen

  2003

• Estimating multiplicative and additive hazard functions by kernel methods. The Annals of Statistics 31, 464-492 (2003), with O.B. Linton and J.P. Nielsen.
• Maximum likelihood for nonparametric mixture models. Computational Statistics and Data Analysis 41, 453-464 (2003).
• On threshold based classification rules. In: Mathematical Statistics and Applications, Festschrift for Constance van Eeden (Eds. M. Moore, S. Freda and C. Leger, IMS, 261-280 (2003), with L. Mohammadi.
• Adaptive quantile regression . In: Recent Trends in Nonparametric Statistics (Eds. M.G. Akritas and D.N. Politis), Elsevier Science, 235-250.

  2002

• M-estimation using penalties or sieves,Journal of Statistical Planning and Inference, 108, 55-69 (2002)
• Adaptive estimation in regression, using soft thresholding type penalties, (pdf-file without pictures) Statistica Neerlandica 56, 453-478 (2002), with J.-M. Loubes.
• On Hoeffding's inequality for dependent random variables. In: Empirical Process Techniques for Dependent Data, eds. H. Dehling, T. Mikosch and M. Sorensen 161-170. Birkhauser, Boston (2002).
• Discussion of the paper "Random rates in anisotropic regression", M. Hoffmann and O. Lepski, Annals of Statistics 30, 385-389 (2002).

  2001

• Least squares estimation with complexity penalties. Mathematical Methods of statistics 10, 355-374 (2001).
• Discussion of the paper "Local extremes, runs, strings and multiresolution", P.L. Davies and A. Kovac, Annals of Statistics 29, 56-59 (2001), with E. Mammen.

  2000

• Empirical Processes in M-Estimation, Cambridge University Press (2000).
• On robust recursive nonparametric curve estimation. In: (E. Gine, D.M. Mason, J.A. Wellner, Eds.) High Dimensional Probability II, 391-403, Birkhauser, Boston (2000).

  1997

• Locally adaptive regression splines, Annals of Statistics 25, 387-413 (1997), with E. Mammen.
• Penalized quasi-likelihood estimation in partial linear models, Annals of Statistics 25, 1014-1035 (1997), with E. Mammen.
• Interdependent preferences: an econometric analysis, Journal of Applied Econometrics 12, 665-686 (1997), with A. Kapteyn, H. van de Stadt and T. Wansbeek.

  1996

• Rates of convergence for the maximum liklihood estimator in mixture models, Nonparametric Statistics 6, 293-310 (1996).
• Consistency for the least squares estimator in non-parametric regression, Annals of Statistics 24, 2513-2523 (1996), with M. Wegkamp.

  1995

• Asymptotic normality in mixture models , ESAIM, Probability and Statistics 1, 17-33.http://www.emath.fr/ps/
• The method of sieves and minimum contrast estimators, Mathematical Methods of Statistics 4, 20-28 (1995).
• Exponential inequalities for martingales, with application to maximum likelihood estimation for counting processes, Ann. Statist. 23 1779-1801 (1995)

  1993

• Hellinger-consistency of certain nonparametric maximum likelihood estimators, Ann. Statist. 21, 14-44 (1993).

  1992

• Probabilistic analysis of the minimum weighted flowtime scheduling problem, Oper. Res. Lett. 11, 67-71 (1992), with A. Marchetti Spaccamela, W.T. Rhee and L. Stougie.

  1991

• On rates of convergence and asymptotic normality in the multiknapsack problem, Mathematical Programming 51, 349-358 (1991), with L. Stougie.
• Empirical process theory as a tool to obtain asymptotic results for maximum likelihood estimators, Bulletin of the ISI, Proceedings of the 48th session, Vol. LIV, Book 3, Th. 26-1 (1991).

  1990

• Estimating a regression function, Ann. Statist. 18, 907-924 (1990).

  1988

• The likelihood ratio test for a change point problem for exponentially distributed random variables, Stochastic Processes and Appl. 27, 121-139 (1988), with P. Haccou and E. Meelis.
• Regression Analysis and Empirical Processes, CWI tract 45, CWI, Amsterdam (1988).

  1987

• A new approach to least squares estimation, with applications, Ann. Statist. 15, 587-602 (1987).
• Appendix in: "Cell fate, morphogenetic movement and population kinetics of embryonic endoderm at the time of germ layer formation of the mouse", by K.A. Lawson and R.A. Pedersen, Development 101, 627-652 (1987).

  1985

• The relativity of utility: evidence from panel data, Review of Economics and Statistics, 67, 179-187(1985), with A. Kapteyn and H. van de Stadt.
• The impact of changes in income and family composition on subjective measures of well-being, in: "Horizontal Equity, Uncertainty and Economic Well-Being; Studies in Income and Wealth, 50, 35-69 (1985), with A. Kapteyn and H. van de Stadt.