Sara van de Geer

发表

Estimation and Testing Under Sparsity: École d'Été de Probabilités de Saint-Flour XLV – 2015

Sara van de Geer, S. Geer, 2016 .

The Debiased Lasso

Sara van de Geer, 2018 .

Ecole d'été de probabilités de Saint-Flour XLV

Sara van de Geer, S. Geer, 2016 .

Statistics for High-Dimensional Data

Sara van de Geer, Peter Bühlmann, S. Geer, 2011 .

Boosting and greedy algorithms

Sara van de Geer, Peter Bühlmann, 2011 .

P-values for linear models and beyond

Sara van de Geer, Peter Bühlmann, 2011 .

Confidence sets in sparse regression

Sara van de Geer, Richard Nickl, R. Nickl, 2012, 1209.1508.

Statistics for High-Dimensional Data: Methods, Theory and Applications

Sara van de Geer, Peter Bhlmann, S. Geer, 2011 .

Oracle Inequalities for Local and Global Empirical Risk Minimizers

Sara van de Geer, Andreas Elsener, S. Geer, 2019, Applied and Numerical Harmonic Analysis.

On the robustness of minimum-norm interpolators

Sara van de Geer, Geoffrey Chinot, Matthias Loffler, 2020 .

Lasso for linear models

Sara van de Geer, Peter Bühlmann, 2011 .

Statistical and Computational Aspects of Learning with Complex Structure

Sara van de Geer, Philippe Rigollet, Markus Reiß, 2020 .

Convergence Rates for Penalized Least Squares Estimators in PDE Constrained Regression Problems

Sara van de Geer, Richard Nickl, Sven Wang, 2018, SIAM/ASA J. Uncertain. Quantification.

Local adaptive regression splines

Sara van de Geer, Enno Mammen, 1997 .

R Code for simulations in the paper "Sparse spectral estimation with missing and corrupted measurements" and resulting output

Sara van de Geer, Andreas Elsener, 2019 .

On rates of convergence and asymptotic normality in the multiknapsack problem

Sara van de Geer, Leen Stougie, S. Geer, 1991, Math. Program..

Non-convex loss functions and ℓ 1 -regularization

Sara van de Geer, Peter Bühlmann, 2011 .

High-dimensional statistics, sparsity and inference

Sara van de Geer, 2013 .

Generalized linear models and the Lasso

Sara van de Geer, Peter Bühlmann, 2011 .

Additive models and many smooth univariate functions

Sara van de Geer, Peter Bühlmann, 2011 .

Tensor denoising with trend filtering

Sara van de Geer, Francesco Ortelli, S. Geer, 2021, Mathematical Statistics and Learning.

Prediction bounds for higher order total variation regularized least squares

Sara van de Geer, Francesco Ortelli, S. Geer, 2019, The Annals of Statistics.

The Relativity of Utility: Evidence from Panel Data

Sara van de Geer, Arie Kapteyn, S. Geer, 1985 .

Penalized quasi-likelihood estimation in partial linear models

Sara van de Geer, Enno Mammen, S. Geer, 1997 .

Rates of convergence for the maximum likelihood estimator in mixture models

Sara van de Geer, S. Geer, 1996 .

Asymptotic Normality in Mixture Models

Sara van de Geer, S. Geer, 1997 .

A Moment Bound for Multi-hinge Classifiers

Sara van de Geer, Bernadetta Tarigan, S. Geer, 2008 .

Prediction and variable selection with the adaptive Lasso

Sara van de Geer, Peter Bühlmann, Shuheng Zhou, 2010 .

Symmetrization, Contraction and Concentration

Sara van de Geer, 2016 .

The Partial Linear Model in High Dimensions

Sara van de Geer, S. Geer, Patric Muller, 2013, 1307.1067.

The group Lasso

Sara van de Geer, Peter Bühlmann, 2011 .

Confidence regions for high-dimensional generalized linear models under sparsity

Sara van de Geer, S. Geer, Jana Jankov'a, 2016, 1610.01353.

Statistical Theory for High-Dimensional Models

Sara van de Geer, S. Geer, 2014, 1409.8557.

On the efficiency of the de-biased Lasso

Sara van de Geer, S. Geer, 2017, 1708.07986.

$χ^2$-confidence sets in high-dimensional regression

Sara van de Geer, Benjamin Stucky, S. Geer, 2016 .

On threshold-based classification rules

Sara van de Geer, L. Mohammadi, S. Geer, 2003 .

High-dimensional inference in misspecified linear models

Sara van de Geer, Peter Buhlmann, S. Geer, 2015, 1503.06426.

Semi-parametric efficiency bounds and efficient estimation for high-dimensional models

Sara van de Geer, Jana Janková, S. Geer, 2016 .

Penalized least squares estimation in the additive model with different smoothness for the components

Sara van de Geer, S. Geer, Alan Muro, 2014, 1405.6584.

New concentration inequalities for suprema of empirical processes

Sara van de Geer, Johannes Lederer, S. Geer, 2011, 1111.3486.

Asymptotic normality of minimum $L_ 1$-norm estimators in linear regression

Sara van de Geer, S. Geer, van de, 1988 .

ST ] 1 9 D ec 2 01 9 Convergence rates for Penalised Least Squares estimators in PDE-constrained regression problems

Sara van de Geer, Richard Nickl, Sven Wang, 2019 .

De-biased sparse PCA: Inference and testing for eigenstructure of large covariance matrices

Sara van de Geer, S. Geer, Jana Jankov'a, 2018, 1801.10567.