Regularization and model selection for ordinal-on-ordinal regression with applications to food products’ testing and survey data
Statistical Modelling: An International Journal
Published online on January 12, 2026
Abstract
Statistical Modelling, Ahead of Print.
Ordinal data are quite common in applied statistics. Although some model selection and regularization techniques for categorical predictors and ordinal response models have been developed over the past few years, less work has been done concerning ordinal-...
Ordinal data are quite common in applied statistics. Although some model selection and regularization techniques for categorical predictors and ordinal response models have been developed over the past few years, less work has been done concerning ordinal-...