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Alternating direction methods for latent variable gaussian graphical model selection
Shiqian Ma, Lingzhou Xue,
Hui Zou
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Letter
›
peer-review
64
Scopus citations
Overview
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Dive into the research topics of 'Alternating direction methods for latent variable gaussian graphical model selection'. Together they form a unique fingerprint.
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Arts & Humanities
Model Selection
100%
Proximal
18%
Gene Expression
11%
Problem Solving
7%
Medicine & Life Sciences
Direction compound
48%
Synthetic Genes
11%
Consensus
7%
Gene Expression
4%