Variational Bayesian parameter estimation techniques for the general linear model
The paper provides a theoretical and practical analysis of variational Bayes, VML, ReML, and ML methods applied to the general linear model in fMRI data analysis.
Frontiers in Neuroscience · Sep 15, 2017Peer-reviewedNeuroscience