Improved estimation of a covariance matrix in an elliptically contoured matrix distribution
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Publication:1421865
DOI10.1016/S0047-259X(03)00063-0zbMath1032.62051OpenAlexW1971309277MaRDI QIDQ1421865
Publication date: 3 February 2004
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0047-259x(03)00063-0
kurtosisscale matrixdecision-theoretic estimationepsilon-contaminated distributionsmultivariate-elliptical t distribution
Related Items (4)
Invariance properties of the likelihood ratio for covariance matrix estimation in some complex elliptically contoured distributions ⋮ Estimation of the inverse scatter matrix of an elliptically symmetric distribution ⋮ Improved ANOVAE of the covariance matrix in general linear mixed models ⋮ Improved estimation of the covariance matrix under Stein's loss
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- An identity for the Wishart distribution with applications
- Estimation of the scale matrix and its eigenvalues in the Wishart and the multivariate \(F\) distributions
- Robust improvement in estimation of a covariance matrix in an elliptically contoured distribution
- Greatest lower bound to the elliptical theory kurtosis parameter
- Asymptotic distributions in canonical correlation analysis and other multivariate procedures for nonnormal populations
- Estimating the normal dispersion matrix and the precision matrix from a decision-theoretic point of view: a review
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