Variational Bayesian Parameter Estimation Techniques for the General Linear Model

Variational Bayesian Parameter Estimation Techniques for the General Linear Model

Variational Bayes (VB), variational maximum likelihood (VML), restricted maximum likelihood (ReML), and maximum likelihood (ML) are cornerstone parametric statistical estimation techniques in the analysis of functional neuroimaging data. However, the theoretical underpinnings of these model paramete...

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Bibliographic Details
Main Authors: Ludger Starke, Dirk Ostwald
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-09-01
Series:Frontiers in Neuroscience
Subjects:
variational Bayes
general linear model (GLM)
fMRI neuroimaging
restricted maximum likelihood estimation
covariance estimation
data analysis
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2017.00504/full

Internet

http://journal.frontiersin.org/article/10.3389/fnins.2017.00504/full

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