Superadditive correlation.

By B. Giraud, J. Heumann, A. Lapedes. 1999

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Protein structure prediction from sequence variation (2012, methodology): “…more efficient mean-field approximation, in which the parameter estimation problem was solved statistical inference 37–39 , and the conditional mutual information derived from correlations between positions in a protein sequence is a discrete, nonlinear analog of partial correlation analysis 40 .”
Improved Contact Predictions Using the Recognition of Protein Like Contact Patterns (2014, methodology): “The introduction of predictors using global models, inferring couplings between residues from the observed correlations, significantly increases the accuracy of co-variation based methods [12-16].”