受强制性开放获取政策约束的文章 - Sara van de Geer了解详情
无法在其他位置公开访问的文章：3 篇
Penalized least squares estimation in the additive model with different smoothness for the components
S van de Geer, A Muro
Journal of Statistical Planning and Inference 162, 43-61, 2015
强制性开放获取政策： Swiss National Science Foundation
The Lasso with structured design and entropy of (absolute) convex hulls
S van de Geer, P Hinz
Foundations of Modern Statistics, 163-195, 2019
强制性开放获取政策： Swiss National Science Foundation
Probabilistic Techniques in Modern Statistics
V Koltchinskii, R Nickl, M Reiß, S van de Geer
Oberwolfach Reports 12 (2), 1449-1498, 2016
强制性开放获取政策： US National Science Foundation
可在其他位置公开访问的文章：19 篇
The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso)
S Van de Geer, P Bühlmann, S Zhou
强制性开放获取政策： Swiss National Science Foundation
The Bernstein–Orlicz norm and deviation inequalities
S van de Geer, J Lederer
Probability theory and related fields 157 (1), 225-250, 2013
强制性开放获取政策： Swiss National Science Foundation
Convergence rates for penalized least squares estimators in PDE constrained regression problems
R Nickl, S van de Geer, S Wang
SIAM/ASA Journal on Uncertainty Quantification 8 (1), 374-413, 2020
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, European Commission
The Lasso, correlated design, and improved oracle inequalities
S Van de Geer, J Lederer
From Probability to Statistics and Back: High-Dimensional Models and …, 2013
强制性开放获取政策： Swiss National Science Foundation
Nemirovski's inequalities revisited
L Dümbgen, SA Van De Geer, MC Veraar, JA Wellner
The American Mathematical Monthly 117 (2), 138-160, 2010
强制性开放获取政策： Swiss National Science Foundation, US National Institutes of Health
Sharp oracle inequalities for square root regularization
B Stucky, S Van De Geer
Journal of Machine Learning Research 18 (67), 1-29, 2017
强制性开放获取政策： Swiss National Science Foundation
Quasi-likelihood and/or robust estimation in high dimensions
S van de Geer, P Müller
Statistical Science, 469-480, 2012
强制性开放获取政策： Swiss National Science Foundation
On higher order isotropy conditions and lower bounds for sparse quadratic forms
S van de Geer, A Muro
强制性开放获取政策： Swiss National Science Foundation
Prediction bounds for higher order total variation regularized least squares
F Ortelli, S van de Geer
The Annals of Statistics 49 (5), 2755-2773, 2021
强制性开放获取政策： Swiss National Science Foundation
On tight bounds for the Lasso
S Van De Geer
Journal of Machine Learning Research 19 (46), 1-48, 2018
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Asymptotic confidence regions for high-dimensional structured sparsity
B Stucky, S van de Geer
IEEE Transactions on Signal Processing 66 (8), 2178-2190, 2018
强制性开放获取政策： Swiss National Science Foundation
Sparse spectral estimation with missing and corrupted measurements
A Elsener, S van de Geer
Stat 8 (1), e229, 2019
强制性开放获取政策： Swiss National Science Foundation
Sharp oracle inequalities for stationary points of nonconvex penalized M-estimators
A Elsener, S van de Geer
IEEE Transactions on Information Theory 65 (3), 1452-1472, 2018
强制性开放获取政策： Swiss National Science Foundation
Adaptive rates for total variation image denoising
F Ortelli, S Van De Geer
Journal of Machine Learning Research 21 (247), 1-38, 2020
强制性开放获取政策： Swiss National Science Foundation
General oracle inequalities for model selection
C Mitchell, S van de Geer
强制性开放获取政策： Swiss National Science Foundation
Tensor denoising with trend filtering
F Ortelli, S van de Geer
Mathematical Statistics and Learning 4 (1), 87-142, 2022
强制性开放获取政策： Swiss National Science Foundation
Finite sample rates for logistic regression with small noise or few samples
F Kuchelmeister, S van de Geer
Sankhya A, 1-70, 2024
强制性开放获取政策： Swiss National Science Foundation
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