Alternative Method for Choosing Ridge Parameter for Regression

By A. V. Dorugade, Dattatraya N. Kashid. 2010

101 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6596deae6b8bf2b1605fcb604ad736c380da3734

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1. Zakariya Yahya Algamal
2. A. V. Dorugade

Citations in the corpus

• Diagnosing and correcting the effects of multicollinearity: Bayesian implications of ridge regression (2019, unknown): “74 75 A main challenge in the literature has been finding the appropriate value of k , as different 76 procedures (Dorugade and Kashid, 2010; Uslu, Egrioglu and Bas, 2014) have been used for that 77 purpose.”
• Shrinkage estimators for gamma regression model (2018, methodology): “Dorugade and Kashid (2010) proposed to use variance inflation factor (VIF) by adding it to the HK1.”
• New ridge parameters for ridge regression (2014, methodology): “(1975) and Dorugade and Kashid (2010) whereas, it gives better performance than other ridge parameters reviewed in this article for all combinations of correlation between predictors (q), sample size (n) and variance of the error term (r(2)) used in this simulation study.”