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Let's say we have 2 populations of matched graphs, and we want to test whether elements of P or B are different across the two populations (P is the IER probability matrix and B is the SBM matrix). Assume that communities are given (either estimated or provided). It would include doing the BH multiple test correction.
In MCC, we say if the graphs are weighted, run DCorr on the weights for each edge/community and correct with BH.
If the graphs are unweighted, you should just use the likelihood ratio test for \hat\theta_1 = \hat\theta_2, then correct with BH, no? (The \theta s are the the probabilities for an edge/community)
Let's say we have 2 populations of matched graphs, and we want to test whether elements of P or B are different across the two populations (P is the IER probability matrix and B is the SBM matrix). Assume that communities are given (either estimated or provided). It would include doing the BH multiple test correction.
@ebridge2 @v715 @j1c
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