Redundant tests in conditional-independence-based graphical model discovery can detect errors only if they follow from graphical assumptions rather than holding for every probability distribution.
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On Different Notions of Redundancy in Conditional-Independence-Based Discovery of Graphical Models
Redundant tests in conditional-independence-based graphical model discovery can detect errors only if they follow from graphical assumptions rather than holding for every probability distribution.