Symmetric Relative Mutual Information
Definition
Symmetric Relative Mutual Information computes the percentage of information gained by observing and :
This normalization is calculated similarly to Pearson's Correlation Coefficient .
where denotes variance.
So, Mutual Information is comparable to covariance, and Entropy is analogous to variance.
Usage
For a given network, BayesiaLab can report the Symmetric Relative Mutual Information in several contexts:
Main Menu > Analysis > Report > Relationship Analysis
:
The Symmetric Normalized Mutual Information can also be shown by selecting
Main Menu > Analysis > Visual > Overall > Arc > Mutual Information
and then clicking the Show Arc Comments icon or selectingMain Menu > View > Show Arc Comments
.
Note that the corresponding options under
Preferences > Analysis > Visual Analysis > Arc's Mutual Information Analysis
have to be selected first:
In Preferences, Child refers to the Relative Mutual Information from the Parent onto the Child node, i.e., in the direction of the arc.
Conversely, Parent refers to the Relative Mutual Information from the Child onto the Parent node, i.e., in the opposite direction of the arc.
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