On sparsity scales and covariance matrix transformations
نویسندگان
چکیده
منابع مشابه
Estimation of Covariance Matrices under Sparsity Constraints
Discussion of “Minimax Estimation of Large Covariance Matrices under L1-Norm” by Tony Cai and Harrison Zhou. To appear in Statistica Sinica. Introduction. Estimation of covariance matrices in various norms is a critical issue that finds applications in a wide range of statistical problems, and especially in principal component analysis. It is well known that, without further assumptions, the em...
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Introduced by C.R. Rao in 1945, the intraclass covariance matrix has seen little use in behavioral genetic research, despite the fact that it was developed to deal with family data. Here, I reintroduce this matrix, and outline its estimation and basic properties for data sets on pairs of relatives. The intraclass covariance matrix is appropriate whenever the research design or mathematical mode...
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ژورنال
عنوان ژورنال: Biometrika
سال: 2019
ISSN: 0006-3444,1464-3510
DOI: 10.1093/biomet/asz014