A modeling framework for detecting and leveraging node-level information in Bayesian network inference
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Bayesian graphical models are powerful tools to infer complex relationships in high dimension, yet are often fraught with computational and statistical challenges. If exploited in a principled way, the increasing information collected alongside the data of pri... ...
