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Statistical significance in high-dimensional linear models

Statistical significance in high-dimensional linear models

7 February 2012
Peter Buhlmann
ArXivPDFHTML

Papers citing "Statistical significance in high-dimensional linear models"

17 / 17 papers shown
Title
Variable Importance in High-Dimensional Settings Requires Grouping
Variable Importance in High-Dimensional Settings Requires Grouping
Ahmad Chamma
Bertrand Thirion
D. Engemann
24
3
0
18 Dec 2023
Testing Many Zero Restrictions in a High Dimensional Linear Regression
  Setting
Testing Many Zero Restrictions in a High Dimensional Linear Regression Setting
Jonathan B. Hill
11
0
0
22 Jan 2023
Uncertainty quantification for sparse Fourier recovery
Uncertainty quantification for sparse Fourier recovery
F. Hoppe
Felix Krahmer
C. M. Verdun
Marion I. Menzel
Holger Rauhut
27
7
0
30 Dec 2022
Simultaneous Inference in Non-Sparse High-Dimensional Linear Models
Simultaneous Inference in Non-Sparse High-Dimensional Linear Models
Yanmei Shi
Zhiruo Li
Q. Zhang
13
0
0
17 Oct 2022
Correcting Confounding via Random Selection of Background Variables
Correcting Confounding via Random Selection of Background Variables
You-Lin Chen
Lenon Minorics
Dominik Janzing
CML
14
4
0
04 Feb 2022
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in
  Linear Models
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
Fei-Yue Wang
Ling Zhou
Lu Tang
P. Song
18
4
0
04 Aug 2019
Solving graph compression via optimal transport
Solving graph compression via optimal transport
Vikas K. Garg
Tommi Jaakkola
OT
11
16
0
29 May 2019
On the dimension effect of regularized linear discriminant analysis
On the dimension effect of regularized linear discriminant analysis
Cheng-Long Wang
Binyan Jiang
20
15
0
09 Oct 2017
The geometry of hypothesis testing over convex cones: Generalized
  likelihood tests and minimax radii
The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii
Yuting Wei
Martin J. Wainwright
Adityanand Guntuboyina
16
21
0
20 Mar 2017
Oracle Inequalities for High-dimensional Prediction
Oracle Inequalities for High-dimensional Prediction
Johannes Lederer
Lu Yu
Irina Gaynanova
26
24
0
01 Aug 2016
Distribution-Free Predictive Inference For Regression
Distribution-Free Predictive Inference For Regression
Jing Lei
M. G'Sell
Alessandro Rinaldo
R. Tibshirani
Larry A. Wasserman
12
808
0
14 Apr 2016
Inference of high-dimensional linear models with time-varying
  coefficients
Inference of high-dimensional linear models with time-varying coefficients
Xiaohui Chen
Yifeng He
34
9
0
12 Jun 2015
A sequential rejection testing method for high-dimensional regression
  with correlated variables
A sequential rejection testing method for high-dimensional regression with correlated variables
Jacopo Mandozzi
Peter Buhlmann
29
10
0
11 Feb 2015
The Benefit of Group Sparsity in Group Inference with De-biased Scaled
  Group Lasso
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso
Ritwik Mitra
Cun-Hui Zhang
24
46
0
13 Dec 2014
Geometric Inference for General High-Dimensional Linear Inverse Problems
Geometric Inference for General High-Dimensional Linear Inverse Problems
T. Tony Cai
Tengyuan Liang
Alexander Rakhlin
33
27
0
17 Apr 2014
Estimation in high-dimensional linear models with deterministic design
  matrices
Estimation in high-dimensional linear models with deterministic design matrices
J. Shao
Xinwei Deng
40
77
0
05 Jun 2012
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
176
748
0
04 Apr 2008
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