Pages that link to "Item:Q2950212"
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The following pages link to A small-sample choice of the tuning parameter in ridge regression (Q2950212):
Displaying 6 items.
- Efficient estimates in regression models with highly correlated covariates (Q1989198) (← links)
- A fast algorithm for optimizing ridge parameters in a generalized ridge regression by minimizing a model selection criterion (Q2317348) (← links)
- An exact approach to ridge regression for big data (Q2403397) (← links)
- Penalized Maximum Likelihood Principle for Choosing Ridge Parameter (Q3652709) (← links)
- Shrinkage parameter selection via modified cross-validation approach for ridge regression model (Q5086327) (← links)
- An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression (Q5220378) (← links)
