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Reduced Rank Kernel Ridge Regression
Neural Processing Letters, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cawley, Gavin C., Talbot, Nicola L. C.
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ON THE CHOICE OF THE PARAMETER OF THE RIDGE REGRESSION
Far East Journal of Theoretical Statistics, 2015Summary: Ridge regression, which defines a class of estimators indexed by a biasing parameter \(k\), is an alternative to the ordinary least squares (OLS) estimator in the multiple linear regression model. In this paper, the problem of choosing the biasing ridge regression parameter \(k\) is considered. Two methods of specifying \(k\) are proposed here
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A Critique of Some Ridge Regression Methods
Journal of the American Statistical Association, 1980Gary Smith
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Performance of Some New Ridge Regression Estimators
Communications in Statistics Part B: Simulation and Computation, 2003B M Golam Kibria
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Minimax Adaptive Generalized Ridge Regression Estimators
Journal of the American Statistical Association, 1978William E Strawderman
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Collinearity: revisiting the variance inflation factor in ridge regression
Journal of Applied Statistics, 2015Roman Salmeron
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