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Chi-square and normal inference in high-dimensional multi-task
  regression

Chi-square and normal inference in high-dimensional multi-task regression

16 July 2021
Pierre C. Bellec
Gabriel Romon
ArXivPDFHTML

Papers citing "Chi-square and normal inference in high-dimensional multi-task regression"

7 / 7 papers shown
Title
Corrected generalized cross-validation for finite ensembles of penalized
  estimators
Corrected generalized cross-validation for finite ensembles of penalized estimators
Pierre C. Bellec
Jin-Hong Du
Takuya Koriyama
Pratik Patil
Kai Tan
28
4
0
02 Oct 2023
Noise Covariance Estimation in Multi-Task High-dimensional Linear Models
Noise Covariance Estimation in Multi-Task High-dimensional Linear Models
Kai Tan
Gabriel Romon
Pierre C. Bellec
11
4
0
15 Jun 2022
The EAS approach to variable selection for multivariate response data in
  high-dimensional settings
The EAS approach to variable selection for multivariate response data in high-dimensional settings
Salil Koner
Jonathan P. Williams
16
5
0
10 Jul 2021
Statistical control for spatio-temporal MEG/EEG source imaging with
  desparsified multi-task Lasso
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso
Jérôme-Alexis Chevalier
Alexandre Gramfort
Joseph Salmon
B. Thirion
32
10
0
29 Sep 2020
The Lasso with general Gaussian designs with applications to hypothesis
  testing
The Lasso with general Gaussian designs with applications to hypothesis testing
Michael Celentano
Andrea Montanari
Yuting Wei
42
63
0
27 Jul 2020
Hypothesis Testing in High-Dimensional Regression under the Gaussian
  Random Design Model: Asymptotic Theory
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel Javanmard
Andrea Montanari
107
160
0
17 Jan 2013
Oracle Inequalities and Optimal Inference under Group Sparsity
Oracle Inequalities and Optimal Inference under Group Sparsity
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
125
379
0
11 Jul 2010
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