How to avoid mismodelling in GLM-based fMRI data analysis: cross-validated Bayesian model selection.
Joram SochJohn-Dylan HaynesCarsten AllefeldPublished in: NeuroImage (2016)
Keyphrases
- cross validated
- data analysis
- bayesian model selection
- cross validation
- model selection
- em algorithm
- log likelihood
- general linear model
- hyperparameters
- posterior probability
- functional magnetic resonance imaging
- machine learning
- parameter estimation
- data association
- mixture model
- fold cross validation
- activation patterns
- data mining
- bayesian framework
- bayesian classifiers
- linear regression
- support vector
- sample size
- maximum likelihood
- human brain
- gaussian mixture model
- logistic regression
- high dimensional data
- generative model
- clustering algorithm
- expectation maximization
- similarity measure