Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates
Fig 2
The evaluation procedure of the simulated fMRI data.
First, both the posterior distribution P(G, R ∣ X) and the point estimates (for the graphical LASSO or maximum likelihood estimate) are determined. Subsequently the error compared to the ground truth is computed for all samples in the approximated distribution as well as for the point estimates (see text for this procedure). These results are summarized by computing the z-score for the point estimate error relative to the distribution of errors obtained from the Bayesian approach. Finally, the z-scores are aggregated across the runs, resulting in a histogram of error z-scores for each simulation.