Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates - Fig 1

<p><b>A</b> The generative model for the conditional dependencies graph and precision matrix. <b>B</b> The generative model for structural connectivity and the precision matrix, based on both BOLD time series <b>X</b> and probabilistic streamline counts <b>N</b>. Latent variables, observed variables and hyperparameters are indicated in white, yellow and grey, respectively.