Estimating large covariance matrix with network topology for high-dimensional biomedical data

DOI10.1016/j.csda.2018.05.008zbMath1469.62041OpenAlexW2803396874WikidataQ129789032 ScholiaQ129789032MaRDI QIDQ1663109

Shuo Chen, Donald K. Milton, Jian Kang, Yunpeng Zhao, Yishi Xing

Publication date: 21 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.05.008

zbMATH Keywords

graphthresholdingparsimonyshrinkagecorrelation matrix

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Extracting brain disease‐related connectome subgraphs by adaptive dense subgraph discovery

Uses Software

• glasso

Cites Work

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