DC algorithm for estimation of sparse Gaussian graphical models.

DC algorithm for estimation of sparse Gaussian graphical models.

Sparse estimation of a Gaussian graphical model (GGM) is an important technique for making relationships between observed variables more interpretable. Various methods have been proposed for sparse GGM estimation, including the graphical lasso that uses the ℓ1 norm regularization term, and other met...

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Bibliographic Details
Main Authors: Tomokaze Shiratori, Yuichi Takano
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0315740
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