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The Bayesian Covariance Lasso

Estimation of sparse covariance matrices and their inverse subject to positive definiteness constraints has drawn a lot of attention in recent years. The abundance of high-dimensional data, where the sample size (n) is less than the dimension (d), requires shrinkage estimation methods since the maxi...

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Hlavní autoři: Khondker, Zakaria S, Zhu, Hongtu, Chu, Haitao, Lin, Weili, Ibrahim, Joseph G.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2013
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3925647/
https://ncbi.nlm.nih.gov/pubmed/24551316
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