Hub Discovery in Partial Correlation Graphs

  title={Hub Discovery in Partial Correlation Graphs},
  author={Alfred O. Hero and Bala Rajaratnam},
  journal={IEEE Transactions on Information Theory},
One of the most important problems in large-scale inference problems is the identification of variables that are highly dependent on several other variables. When dependence is measured by partial correlations, these variables identify those rows of the partial correlation matrix that have several entries with large magnitudes, i.e., hubs in the associated partial correlation graph. This paper develops theory and algorithms for discovering such hubs from a few observations of these variables… CONTINUE READING
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