Estimating the covariance matrix and the generalized variance under a symmetric loss
From MaRDI portal
Publication:749111
DOI10.1007/BF00050840zbMath0712.62047MaRDI QIDQ749111
Yoshihiko Konno, Tatsuya Kubokawa
Publication date: 1990
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
covariance matrixWishart distributiongeneralized varianceinadmissibilitymultivariate normal distributionbest affine equivariant estimatorStein's truncated estimatorsymmetric lossunknown means
Related Items
Optimal shrinkage of eigenvalues in the spiked covariance model, Estimating the ratio of two scale parameters: a simple approach, UMVU estimation of the ratio of powers of normal generalized variances under correlation, Shrinkage estimation of large covariance matrices: keep it simple, statistician?, Estimation of the entropy of a multivariate normal distribution, Estimation of Multivariate Complex Normal Covariance Matrices Under an Invariant Quadratic Loss, Estimation of multivariate normal covariance and precision matrices in a star-shape model with missing data, Estimation of the multivariate normal precision and covariance matrices in a star-shape model, On weakly equivariant estimators, Stein estimation -- a review, Improved estimation of the generalized precision under the entropy loss, Improving on the best affine equivariant estimator of the ratio of generalized variances, On improved interval estimation for the generalized variance, Improved Estimation of Generalized Variance and Precision
Cites Work
- Estimation of a covariance matrix under Stein's loss
- Entropy loss and risk of improved estimators for the generalized variance and precision
- An identity for the Wishart distribution with applications
- Empirical Bayes estimation of the multivariate normal covariance matrix
- Minimax estimation of powers of the variance of a normal population under squared error loss
- On improved estimators of the generalized variance
- An improved estimator of the generalized variance
- Inadmissibility of the usual estimator for the variance of a normal distribution with unknown mean
- Decision-theoretic estimation of generalized variance and generalized precision
- Distributions of Matrix Variates and Latent Roots Derived from Normal Samples
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item