Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure

Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure

10.1016/j.neuroimage.2020.116611

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Bibliographic Details
Main Authors: Pavlović, D.M., Guillaume, B.R.L., Towlson, E.K., Kuek, N.M.Y., Afyouni, S., Vértes, P.E., Yeo, B.T.T., Bullmore, E.T., Nichols, T.E.
Other Authors: LIFE SCIENCES INSTITUTE
Format: Article
Published: Academic Press Inc. 2021
Subjects:
Community detection
Firth estimation
Integrated classification likelihood criterion
Likelihood ratio
Mixture models
Modularity
Multi-subject network analysis
Network analysis
Permutation test
Stochastic block model
Stochastic blockmodel
Variational approximation
Wald test
Online Access:https://scholarbank.nus.edu.sg/handle/10635/198745
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Institution: National University of Singapore

Internet

https://scholarbank.nus.edu.sg/handle/10635/198745

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