| Statistics for high-dimensional data: methods, theory and applications P Bühlmann, S Van De Geer Springer Science & Business Media, 2011 | 3741 | 2011 |
| The group lasso for logistic regression L Meier, S Van De Geer, P Bühlmann Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2008 | 2131 | 2008 |
| Empirical Processes in M-estimation SA Geer Cambridge university press, 2000 | 1655 | 2000 |
| On asymptotically optimal confidence regions and tests for high-dimensional models S Van de Geer, P Bühlmann, Y Ritov, R Dezeure | 1415 | 2014 |
| A global test for groups of genes: testing association with a clinical outcome JJ Goeman, SA Van De Geer, F De Kort, HC Van Houwelingen Bioinformatics 20 (1), 93-99, 2004 | 1297 | 2004 |
| On the conditions used to prove oracle results for the Lasso SA Van De Geer, P Bühlmann | 875 | 2009 |
| High-dimensional generalized linear models and the lasso SA Van de Geer | 855 | 2008 |
| High-dimensional additive modeling L Meier, S Van de Geer, P Bühlmann | 561 | 2009 |
| The relativity of utility: Evidence from panel data H Van de Stadt, A Kapteyn, S Van de Geer The review of Economics and Statistics, 179-187, 1985 | 458 | 1985 |
| Locally adaptive regression splines E Mammen, S Van De Geer The Annals of Statistics 25 (1), 387-413, 1997 | 452 | 1997 |
| Oracle inequalities and optimal inference under group sparsity K Lounici, M Pontil, S Van De Geer, AB Tsybakov | 430 | 2011 |
| ℓ1-penalization for mixture regression models N Städler, P Bühlmann, S Van De Geer Test 19, 209-256, 2010 | 386 | 2010 |
| Regularization in statistics PJ Bickel, B Li, AB Tsybakov, SA van de Geer, B Yu, T Valdés, C Rivero, ... Test 15, 271-344, 2006 | 321 | 2006 |
| Taking advantage of sparsity in multi-task learning K Lounici, M Pontil, AB Tsybakov, S Van De Geer arXiv preprint arXiv:0903.1468, 2009 | 316 | 2009 |
| Testing against a high dimensional alternative JJ Goeman, SA Van De Geer, HC Van Houwelingen Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2006 | 277 | 2006 |
| Applications of empirical process theory SA Van de Geer (No Title), 2000 | 258 | 2000 |
| Correlated variables in regression: clustering and sparse estimation P Bühlmann, P Rütimann, S Van De Geer, CH Zhang Journal of Statistical Planning and Inference 143 (11), 1835-1858, 2013 | 247 | 2013 |
| Estimating a regression function S Van de Geer The Annals of Statistics, 907-924, 1990 | 237 | 1990 |
| Confidence intervals for high-dimensional inverse covariance estimation J Jankova, S Van De Geer | 236 | 2015 |
| Hellinger-consistency of certain nonparametric maximum likelihood estimators S Van de Geer The Annals of Statistics 21 (1), 14-44, 1993 | 235 | 1993 |
