We propose a method for variable selection and basis learning for high-dimensional classification with ordinal responses. The proposed method extends sparse multiclass linear discriminant analysis, wi
Motivated by a longitudinal oral health study, the Signal-Tandmobiel ® study, a Bayesian approach has been developed to model misclassified ordinal response data. Two regression models have
We propose a method for variable selection and basis learning for high-dimensional classification with ordinal responses. The proposed method extends sparse multiclass linear discriminant analysis, wi