Improved loss estimation for a normal mean matrix
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Publication:1755127
DOI10.1016/j.jmva.2018.10.001zbMath1414.62185OpenAlexW2897264040MaRDI QIDQ1755127
Takeru Matsuda, William E. Strawderman
Publication date: 4 January 2019
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2018.10.001
singular value decompositionshrinkage estimatorreduced-rank regressionloss estimationmatrix mean estimation
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Data based loss estimation of the mean of a spherical distribution with a residual vector ⋮ Inadmissibility of the corrected Akaike information criterion
Cites Work
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- Estimation of normal means: Frequentist estimation of loss
- On estimation of a matrix of normal means with unknown covariance matrix
- Admissibility and minimaxity of Bayes estimators for a normal mean matrix
- Multivariate empirical Bayes and estimation of covariance matrices
- Multivariate reduced-rank regression
- On unbiased and improved loss estimation for the mean of a multivariate normal distribution with unknown variance.
- On Stein's unbiased risk estimate for reduced rank estimators
- On estimation of matrix of normal mean
- On Bayes and unbiased estimators of loss
- Improved loss estimation for the lasso: a variable selection tool
- A unified approach to estimating a normal mean matrix in high and low dimensions
- Methods for improvement in estimation of a normal mean matrix
- On improved loss estimation for shrinkage estimators
- Singular value shrinkage priors for Bayesian prediction
- Some matrix-variate distribution theory: Notational considerations and a Bayesian application
- Shrinkage to smooth non-convex cone :Principal component analysis as stein estimation
- UNBIASED ESTIMATOR OF RISK FOR AN ORTHOGONALLY INVARIANT ESTIMATOR OF A COVARIANCE MATRIX
- Akaike's Information Criterion, Cp and Estimators of Loss for Elliptically Symmetric Distributions
- On the degrees of freedom of reduced-rank estimators in multivariate regression
- Empirical Bayes on vector observations: An extension of Stein's method
- Normal Multivariate Analysis and the Orthogonal Group
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