Papers and (contribution to) books
2022
- Geoffrey Chinot, Matthias Löffler and Sara van de Geer (2022). On the robustness of
minimum norm interpolators and regularized empirical risk minimizers.
To appear in The Annals of Statistics.
- Francesco Ortelli and Sara van de Geer (2022).Tensor denoising with trend filtering.
To appear in: Mathematical Statistics and Learning.
2021
- Sara van de Geer and Peter Hinz (2021). The Lasso with structured design and entropy
of (absolute) convex hulls. To appear in: Foundations of Modern Statistics, Springer.
- Willem van Zwet, teacher and thesis advisor (2021).
Chris Klaassen and Sara van de Geer, editors.
The Annals of Statistics 49, 2448-2456
- Jana Janková and Sara van de Geer (2021). IEEE
Transactions on Information Theory 67, 2507-2527.
- Francesco Ortelli and Sara van de Geer (2021). Prediction bounds for higher order
total variation least squares. Annals of Statistics 49, 2755-2773.
2020
- Francesco Ortelli and Sara van de Geer (2020).
Adaptive rates for total variation image denoising,. Journal of Machine Learning Research 21, 1-38.
- Sara van de Geer (2020). Logistic regression with total variation regularization.
Transactions of A. Razmadze Mathematical Institute
Vol. 174, Issue 2, 217–233.
- Francesco Ortelli and Sara van de Geer (2020). Oracle inequalities for square root analysis estimators with application to total variation penalties. Information and Inference: A Journal of the IMA (iaaa2020).
- Richard Nickl, Sara van de Geer and Sven Wang (2020). Convergence rates for penalised least squares estimators in PDE-constrained
regression problems. SIAM/ASA Journal on Uncertainty Quantification 8, 374-413.
2019
- Peter Hinz and Sara van de Geer (2019).
A Framework for the construction of upper bounds on the number of affine linear regions of ReLU feed-forward neural networks.
IEEE Transactions on Information Theory, 65, 7304-7324, 2019.
- Sara van de Geer, (2019)
On the asymptotic variance of the debiased Lasso.
Electronic Journal of Statistics 13, 2970-3008, 2019
- van de Geer, S. (2019). Discussion of Models as
Approximations I \& II. Statistical Science 34, 566-568
- Andreas Elsener and Sara van de Geer.
Sharp oracle inequalities for stationary points of
nonconvex penalized M-estimators.
IEEE Transactions on Information Theory 65, 1452-1472, 2019.
Preprint available at ArXiv 1802.09733.
- Andreas Elsener and Sara van de Geer.
Oracle inequalities for local and global
empirical risk minimizers. In: Compressed Sensing and its Applications.
Springer, pp. 1 –20, 2019.
- Andreas Elsener, and Sara van de Geer.
Sparse spectral estimation with missing
and corrupted measurements. Stat 8, 2019.
2018
- Francesco Ortelli and Sara van de Geer.
On the total variation regularized estimator over a class of tree graphs. Electronic
Journal of Statistics 12, 4517-4570
- Sara van de Geer.
On tight bounds for the Lasso.
Journal of Machine Learning Research 19, 1-48.
- Jana Janková and Sara van de Geer.
Semi-parametric efficiency bounds for high-dimensional models.
The Annals of Statistics 46, 2336-2359, 2018.
- Andreas Elsener and Sara van de Geer.
Robust low-rank matrix estimation
The Annals of Statistics 46, 3481-3509, 2018.
Preprint available at ArXiv
1603.09071.
- Benjamin Stucky and Sara van de Geer.
Asymptotic confidence regions for high-dimensional structured sparsity
.
IEEE Transactions on Signal Processing, 66,2178-2190, 2018.
- Alan Muro and Sara van de Geer.
Concentration behavior of the penalized least
squares estimator.
Statistica Neerlandica 72, 109-125, 2018
- Peter Bühlmann and Sara van de Geer.
Statistics for big data: A perspective Statistics & Probability Letters 136, 37-41, 2018.
2017
- Benjamin Stucky and Sara van de Geer.
Sharp oracle inequalities for square root regularization
.
Journal of Machine Learning Research, 18, 1-29, 2017.
- Jana Janková and Sara van de Geer. Inference in high-dimensional graphical models. In:
Handbook of Graphical Models, Eds. M. Drton, S. Lauritzen, M. Maathuis, M. Wainwright,
Chapman & Hall / CRC, 2017.
- Sara van de Geer and Martin Wainwright.
On concentration for (regularized) empirical risk minimization.
With discussion.
Sankhya A, 79, 159-200, 2017.
Preprint available at ArXiv
1512.00677.
2016
- Vladimir Koltchinskii, Richard Nickl, Sara van de Geer and Jon A. Wellner,
The mathematical work of Evarist Giné
, Stochastic Process and Applications 126, 3607-3622, 2016.
- Vladimir Koltchinskii, Richard Nickl, Sara van de Geer i Jon A. Wellner,
L’obra matemàtica d’Evarist Giné, Butlletí de la Societat Catalana de
Matemàtiques, Institut d’Etudis Catalans 31, 5-29, 2016.
- Sara van de Geer,
Estimation and Testing under Sparsity:
École d'Éte de Saint-Flour XLV, Spinger, 2016.
- Jana Janková and Sara van de Geer,
Honest confidence regions and optimality in high-dimensional precision matrix estimation
, Test, 2016.
- Sara van de Geer. Worst possible subdirections in high-dimensional models,
Journal of Multivariate Analyis 248–260 2016.
Preprint available at ArXiv
1403.7023.
- Sara van de Geer and Benjamin Stucky. Chi-square-confidence sets in high-dimensional regression. In: Statistical Analysis for High-Dimensional Data, The Abel Symposium 2014, Springer,
Eds. A. Frigessi, P. Bühlmann, I.K. Glad, M. Langaas, S. Richardson, M. Vannucci,
2016
Preprint available at ArXiv
1502.07131.
- Patric Mueller and Sara van de Geer.
Censored linear model in high dimensions. Test 25, 75-92, 2016.
Preprint available at ArXiv
1405.0579
.
2015
- Peter Buehlmann and Sara van de Geer.
High-dimensional inference in misspecified linear models. Electronic Journal of Statistics 9, 1449-1473, 2015.
- Sara van de Geer and Alan Muro. Penalized least squares estimation in the additive model with different smoothness for the components. Journal of Statistical Planning and Inference, 43-61, 2015 Preprint available at ArXiv
1405.6584
- Jana Jankova and Sara van de Geer. Confidence intervals for high-dimensional inverse covariance estimation.
Electronic Journal of Statistics 9, 1205-1229, 2015.
- Patric Mueller and Sara van de Geer.
The partial linear model in high dimensions. Scandinavian Journal of
Statistics, 42, 580-608, 2015.
Preprint available at ArXiv
1307.1067
2014
- Sara van de Geer and Alan Muro. On higher order isotropy conditions and lower bounds for sparse quadratic forms. Electronic Journal of Statistics 8, 3031-3061, 2014.
- Johannes Lederer and Sara van de Geer.
New concentration inequalities for suprema of empirical processes.
Bernoulli 20, 2020-2038, 2014.
Preprint available at ArXiv:
1111.3486
- Sara van de Geer. On the uniform convergence of empirical norms and inner products, with application to causal inference. Electronic Journal of Statistics 8, 543-574.
- Sara van de Geer, Peter Buehlmann, Ya'acov Ritov and Ruben Dezeure.
On asymptotically optimal confidence regions and tests for high-dimensional models.
Annals of Statistics 42, 1166-1202, 2014
- Peter Buehlmann, Lukas Meier and Sara van de Geer (2013).
Disussion: "A significance test for the Lasso" Annals of Statistics 42, 469-477.
- Sara van de Geer.
Weakly decomposable regularization penalties and structured
sparsity. Scandinavian Journal of Statistics, 2014, Vol. 41, 72-86.
Preprint available at ArXiv:
1204.4813
, 2012
2013
- Richard Nickl and Sara van de Geer. Confidence sets in sparse regression.
Annals of Statistics 2013, Vol. 41, 2852-2876, 2013.
- Sara van de Geer and Peter Buehlmann.
l0-penalized maximum likelihood estimation for sparse directed
acyclic graphs
. The Annals of Statistics 41, 536-567, 2013
- Sara van de Geer.
Generic chaining and the l1 penalty
. Journal of Statistical Planning and Inference
(with discussion) 143, 1001-1012, 2013
- Sara van de Geer, and Johannes Lederer. The
Bernstein-Orlicz norm and deviation inequalities.
Probability Theory and Related Fields 157, 225-250 2013.
- Peter Buehlmann, Philipp Ruetimann, Sara van de Geer and Cun-Hui
Zhang.
Correlated variables in regression: clustering and sparse estimation
. Journal of Statistical Planning and Inference
(with discussion), 143, 1835-1858, 2013.
- Sara van de Geer and Marloes Maathuis.
Discussion of the paper by Piet Groeneboom: Nonparametric (smoothed) maximum likelihood and integral equations. Journal of Statistical Planning and Inference,
143 2068-2071, 2013.
- Sara van de Geer. Discussion of the paper by M. Mougeot, D. Picard and
K. Tribouley: Grouping strategies and thresholding for high-dimension
linear models. Journal of Statistical Planning and Inference, 143, 1447-1450, 2013.
2012
- Sara van de Geer and Marten Wegkamp (Editors) (2012)
Selected Works of Willem van Zwet.
Springer
- Sara van de Geer and Johannes Lederer (2012)
The Lasso, correlated design, and improved oracle inequalities.
IMS Collections From Probability to Statistics and Back: High-Dimensional Models and
Processes, 9, 303-316
- Sara van de Geer and Patric Mueller (2012)
Quasi-likelihood and/or robust estimation in high-dimensions.
Statistical Science 27, 469-480.
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.
- 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.
- S.A. van de Geer (2011).
Estimation: an overview.
International Encyclopedia of Statistical Science, Springer
- 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.
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 Mathematicians, 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.
- Sara van de Geer (2008).
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).
- Discussion 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), with E. Belitser.
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.