The identification of interacting networks in the brain using fMRI: Model selection, causality and deconvolution.
Alard RoebroeckElia FormisanoRainer GoebelPublished in: NeuroImage (2011)
Keyphrases
- model selection
- cross validation
- regression model
- sample size
- bayesian learning
- hyperparameters
- parameter estimation
- statistical learning
- statistical inference
- mixture model
- feature selection
- automatic model selection
- error estimation
- variable selection
- meta learning
- motion segmentation
- leave one out cross validation
- generalization error
- machine learning
- selection criterion
- information criterion
- generalization bounds
- human brain
- parameter determination
- bayesian information criterion
- data analysis
- model selection criteria
- least squares
- bayesian methods
- gaussian process