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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

29 September 2020
Jérôme-Alexis Chevalier
Alexandre Gramfort
Joseph Salmon
B. Thirion
ArXivPDFHTML

Papers citing "Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso"

9 / 9 papers shown
Title
EEG4Students: An Experimental Design for EEG Data Collection and Machine
  Learning Analysis
EEG4Students: An Experimental Design for EEG Data Collection and Machine Learning Analysis
Guangyao Dou
Zheng Zhou
OOD
18
1
0
24 Aug 2022
BrainActivity1: A Framework of EEG Data Collection and Machine Learning
  Analysis for College Students
BrainActivity1: A Framework of EEG Data Collection and Machine Learning Analysis for College Students
Zheng Zhou
Guangyao Dou
Xiaodong Qu
19
12
0
27 Jul 2022
Time Majority Voting, a PC-based EEG Classifier for Non-expert Users
Time Majority Voting, a PC-based EEG Classifier for Non-expert Users
Guangyao Dou
Zheng Zhou
Xiaodong Qu
26
17
0
26 Jul 2022
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression
  Models in Neuroimaging
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging
Ali Hashemi
Yijing Gao
Chang Cai
Sanjay Ghosh
Klaus-Robert Muller
S. Nagarajan
Stefan Haufe
29
7
0
02 Nov 2021
Chi-square and normal inference in high-dimensional multi-task
  regression
Chi-square and normal inference in high-dimensional multi-task regression
Pierre C. Bellec
Gabriel Romon
32
3
0
16 Jul 2021
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
32
5
0
10 Jul 2021
Spatially relaxed inference on high-dimensional linear models
Spatially relaxed inference on high-dimensional linear models
Jérôme-Alexis Chevalier
Tuan-Binh Nguyen
B. Thirion
Joseph Salmon
26
1
0
04 Jun 2021
Correlated variables in regression: clustering and sparse estimation
Correlated variables in regression: clustering and sparse estimation
Peter Buhlmann
Philipp Rutimann
Sara van de Geer
Cun-Hui Zhang
80
182
0
26 Sep 2012
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
1