A new fLiu shrinkage estimator for high-dimensional scalar-on-functional regression is introduced, with MSE decomposition yielding a plug-in optimal shrinkage parameter and a proof that GCV is uninformative underdetermined.
(1993), ‘A new class of biased estimate in linear regression’,Communications in Statistics — Theory and Methods22, 393–402
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Functional Liu Regression for Scalar-on-Functional Models in High-Dimensional Settings
A new fLiu shrinkage estimator for high-dimensional scalar-on-functional regression is introduced, with MSE decomposition yielding a plug-in optimal shrinkage parameter and a proof that GCV is uninformative underdetermined.