Hub Discovery in Partial Correlation Graphs

@article{Hero2012HubDI,
  title={Hub Discovery in Partial Correlation Graphs},
  author={Alfred O. Hero and Bala Rajaratnam},
  journal={IEEE Transactions on Information Theory},
  year={2012},
  volume={58},
  pages={6064-6078}
}
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
Highly Cited
This paper has 41 citations. REVIEW CITATIONS
28 Citations
23 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 28 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 23 references

H

  • H. Y. Chang, D.S.A. Nuyten, J. B. Sneddon, T. Hastie, R. Tibshirani, T. Sørlie
  • Dai, Y.D. He, L.J. Van’t Veer, H. Bartelink, et…
  • 2005
Highly Influential
4 Excerpts

Covariance regularization via thresholding

  • P. J. Bickel, E. Levina
  • Annals of Statistics, 34(6):2577– 2604
  • 2008
2 Excerpts

Similar Papers

Loading similar papers…