Jensen-Shannon regularized analogues of KL-based direct-correlation measures are introduced, taking values in [0,1] and accompanied by alphabet-size-dependent upper bounds under the observed marginal p(x,z).
URL https://www.kaggle.com/c/titanic Training-split CSV (used in this paper) mir- rored at https://raw.githubusercontent.com/ datasciencedojo/datasets/master/titanic.csv
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How to quantify direct correlations between variables
Jensen-Shannon regularized analogues of KL-based direct-correlation measures are introduced, taking values in [0,1] and accompanied by alphabet-size-dependent upper bounds under the observed marginal p(x,z).