Paul W. Holland
Abstract
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Gives the formulas for and derivation of ridge regression methods when there are weights associated with each observation.A Bayesian motivation is used and various choices of k are discussed.A suggestion is made as to how to combine ridge regres.sionwith robust regression methods. C)
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Gives the formulas for and derivation of ridge regression methods when there are weights associated with each observation.A Bayesian motivation is used and various choices of k are discussed.A suggestion is made as to how to combine ridge regres.sionwith robust regression methods. C)
Key concepts: Ridge, Regression, Robust regression, Regression analysis, Statistics, Elastic net regularization, Local regression, Regression diagnostic