On shrinkage estimation for balanced loss functions
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Publication:2293387
DOI10.1016/j.jmva.2019.104558zbMath1454.62088arXiv1904.03171OpenAlexW2979974221WikidataQ127086609 ScholiaQ127086609MaRDI QIDQ2293387
Éric Marchand, William E. Strawderman
Publication date: 5 February 2020
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1904.03171
Ridge regression; shrinkage estimators (Lasso) (62J07) Point estimation (62F10) Minimax procedures in statistical decision theory (62C20) Admissibility in statistical decision theory (62C15)
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Cites Work
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- Bayes minimax estimation of the multivariate normal mean vector under balanced loss function
- Bayesian and robust Bayesian analysis under a general class of balanced loss functions
- All admissible linear estimators of a regression coefficient under a balanced loss function
- Minimax estimation of location parameters for spherically symmetric distributions with concave loss
- Estimation of the mean of a multivariate normal distribution
- Generalizations of James-Stein estimators under spherical symmetry
- Minimax estimation of location vectors for a wide class of densities
- Shrinkage estimators of the location parameter for certain spherically symmetric distributions
- On estimation with balanced loss functions
- Minimax estimation of location parameters for certain spherically symmetric distributions
- Shrinkage estimation
- On improved shrinkage estimators for concave loss
- On estimation with weighted balanced-type loss function
- On continuous distribution functions, minimax and best invariant estimators, and integrated balanced loss functions
- A Family of Minimax Estimators of the Mean of a Multivariate Normal Distribution
- A Semiparametric Basis for Combining Estimation Problems Under Quadratic Loss