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We develop a Bayesian hierarchical model to identify communities in networks for which we do not observe the edges directly, but instead observe a series of interdependent signals for each of the nodes.
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Tony Cai, Weidong Liu, and Xi Luo, “A constrained ℓ 1 \ell_{1} minimization approach to sparse precision matrix estimation,” Journal of the American Statistical Association 106
2011
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Daniel J. Fenn, Mason A. Porter, Stacy Williams, Mark McDonald, Neil F. Johnson, and Nick S. Jones, “Temporal evolution of financial-market correlations,” Phys. Rev. E 84
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2012
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Tomohiro Ando and Jushan Bai, “Clustering huge number of financial time series: A panel data approach with high-dimensional predictors and factor structures,” Journal of the American Statistical Association 0
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Leto Peel, Daniel B Larremore, and Aaron Clauset, “The ground truth about metadata and community detection in networks,” Science Advances 3
2017
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