Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates.
Max HinneRonald J. JanssenTom HeskesMarcel A. J. van GervenPublished in: PLoS Comput. Biol. (2015)
Keyphrases
- bayesian estimation
- conditional independence
- functional connectivity
- chain graphs
- bayesian networks
- random variables
- probability distribution
- posterior distribution
- graphical models
- causal models
- hidden variables
- directed acyclic graph
- working memory
- directed graph
- multi channel
- diffusion tensor imaging
- machine learning
- probabilistic model
- data analysis
- structural learning
- computer vision