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Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression
  Models in Neuroimaging

Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging

2 November 2021
Ali Hashemi
Yijing Gao
Chang Cai
Sanjay Ghosh
Klaus-Robert Muller
S. Nagarajan
Stefan Haufe
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Papers citing "Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging"

3 / 3 papers shown
Title
Introducing Block-Toeplitz Covariance Matrices to Remaster Linear
  Discriminant Analysis for Event-related Potential Brain-computer Interfaces
Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces
J. Sosulski
Michael Tangermann
17
10
0
04 Feb 2022
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
14
10
0
29 Sep 2020
Geometric Mean Metric Learning
Geometric Mean Metric Learning
P. Zadeh
Reshad Hosseini
S. Sra
25
166
0
18 Jul 2016
1