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Comparative Study of LASSO, Ridge Regression, Preliminary Test and Stein-type Estimators for the Sparse Gaussian Regression Model.
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- Statistics, Optimization & Information Computing, 2019, v. 7, n. 4, p. 626, doi. 10.19139/soic-2310-5070-713
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On Shrinkage Estimation: Non-orthogonal Case.
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- Statistics, Optimization & Information Computing, 2018, v. 6, n. 3, p. 427, doi. 10.19139/soic.v6i3.582
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Rank theory approach to ridge, LASSO, preliminary test and Stein‐type estimators: A comparative study.
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- Canadian Journal of Statistics, 2018, v. 46, n. 4, p. 690, doi. 10.1002/cjs.11480
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Shrinkage Pre-Test Estimator of the Intercept Parameter for a Regression Model with Multivariate Student-t Errors.
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- Biometrical Journal, 1997, v. 39, n. 2, p. 131, doi. 10.1002/bimj.4710390202
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On a Mixed-Type Randomized Rule for Selecting Superior Binomial Models.
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- Biometrical Journal, 1987, v. 29, n. 7, p. 857, doi. 10.1002/bimj.4710290716
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- Article
Estimation of the common scale parameter of two pareto distributions in censored samples.
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- Naval Research Logistics, 1987, v. 34, n. 2, p. 235, doi. 10.1002/1520-6750(198704)34:2<235::AID-NAV3220340208>3.0.CO;2-#
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RANK THEORY APPROACH TO RIDGE, LASSO, PRELIMINARY TEST AND STEIN-TYPE ESTIMATORS: COMPARATIVE STUDY.
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- Kybernetika, 2018, v. 54, n. 5, p. 958, doi. 10.14736/kyb-2018-5-0958
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