Tuning matters : Comparing lambda optimization approaches for ridge regression in genomic prediction.

Background/Objectives : Ridge regression (RR) is a widely used statistical learning method for predicting continuous response variables, particularly in high-dimensional contexts where the number of predictors (p) far exceeds the number of observations (n). RR is known for its simplicity, as it depe...

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Bibliographic Details

Main Author:	Montesinos-López, Osval A. (author)
Other Authors:	Barajas-Ramirez, Eduardo A. (author), Montesinos-López, Abelardo (author), Lecumberry, Federico (author), Fariello, Maria Ines (author), Montesinos-López, José Cricelio (author), Ramirez Alcaraz, Juan Manuel (author), Crossa, José (author), Howard, Reka (author)
Format:	article
Language:	English
Published:	2025
Subjects:	Ridge regression Prediction performance Tuning hyperparameter Continues response
Online Access:	https://www.mdpi.com/2073-4425/16/6/618 https://hdl.handle.net/20.500.12008/50119
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