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High-dimensional covariance estimation based on Gaussian graphical models
High-dimensional covariance estimation Gaussian graphical models
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2010/12/15
Undirected graphs are often used to describe high dimensional distributions. Under sparsity
conditions, the graph can be estimated using ℓ1-penalization methods. We propose and study
the follo...