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Minimax Rate-optimal Estimation of High-dimensional Covariance Matrices with Incomplete Data()
Missing data occur frequently in a wide range of applications. In this paper, we consider estimation of high-dimensional covariance matrices in the presence of missing observations under a general missing completely at random model in the sense that the missingness is not dependent on the values of...
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| Publicado no: | J Multivar Anal |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5074419/ https://ncbi.nlm.nih.gov/pubmed/27777471 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmva.2016.05.002 |
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