Reference: | Baranchik, A.J. (1964) Multiple regression and estimation of the mean of a multivariate normal distribution. Technical Report 51, Department of Statistics, Stanford University Stanford . Breiman, L. (1995) Better subset selection using the nonnegative garotte. Technnometrics,37,373-384 Hocking, R. R. (1976) The analysis and selection of variables in linear regression. Biometrics. 32, 1-49 Hoerl, A. E. and Kennard, R. W. (1970) Ridge regression: Biased estimation for non-orthogonal problems. Technometrics. 12,55-67 Richards, John A. (1999) An introduction James-Stein estimation Stein, C. (1956), "Inadmissibility of the usual estimator for the mean of a multivariate distribution", Proc. Third Berkeley Symp. Math. Statist. Prob., vol. 1, at 197-206 James, W. & C. Stein (1961), "Estimation with quadratic loss", Proc. Fourth Berkeley Symp. Math. Statist. Prob., vol. 1, at 311-319 Scolve,S.L.(1968).Improved estimators for voefficients in linear regression. J. Amer. Statist. Assoc. 63,597-606 Stamey, T., Kabalin, J., McNeal, J., Johnstone, I., Freiha, F., Redwine, E. and Yang, N. (1989) Prostate specific antigen in the diagnosis and treatment of adenocarcinoma of the prostate, ii: Radical prostatectomy treated patients. J. Urol., 16, 1076-1083. Stein, C. (1981) Estimation of the mean of a multivariate normal distribution. Ann. Statist., 9, 1135-1151. Tibshirani, R. (1996) Regression shrinkage and selection via the lasso. J. R. Statist. Soc. B, 58, 267–288. Zou, H. and Hastie, T (2005) Regularization and variable selection via the elastic net. J. R. Statist. Soc. B. 67, Part 2, 301–320 Zhou, H. H. and Hwang, J. T. G. (2003).Minimax estimation with thresholding. Technical report,Cornell Statistical Center. Zhou, H. H. and Hwang, J. T. G. (2005).Minimax estimation with thresholding. And its application to wavelet analysis. The Annals of Statistics. Vol. 33, No. 1, 101–125 |