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Bayesian Analyses of Ridge Regression Prooblems | ||
| Ibn Al-Haitham Journal For Pure And Applied Science | ||
| Article 1, Volume 23, Issue 3, 2010, Pages 253-264 | ||
| Author | ||
| H. M. Gorgees | ||
| Abstract | ||
| A Bayesian formulation of the ridge regression problem is considerd, which derives from a direct specification of prior informations about parameters of general linear regression model when data suffer from a high degree of multicollinearity.A new approach for deriving the conventional estimator for the ridge parameter proposed by Hoerl and Kennard (1970) as well as Bayesian estimator are presented. A numerical example is studied in order to compare the performance of these estimators. | ||
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