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Adjusting for High-dimensional Covariates in Sparse Precision Matrix Estimation by ℓ(1)-Penalization
Motivated by the analysis of genetical genomic data, we consider the problem of estimating high-dimensional sparse precision matrix adjusting for possibly a large number of covariates, where the covariates can affect the mean value of the random vector. We develop a two-stage estimation procedure to...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3653344/ https://ncbi.nlm.nih.gov/pubmed/23687392 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmva.2013.01.005 |
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