Stability approach to selecting the number of principal components

Principal quantile regression for sufficient dimension reduction with heterogeneity

Invited discussion of "Random-projection ensemble classification" by TI Cannings and RJ Samworth

The cumulative Kolmogorov filter for model-free screening in ultrahigh dimensional data

Penalized principal logistic regression for sparse sufficient dimension reduction

Principal weighted support vector machines for sufficient dimension reduction in binary classification

A comparative study of the dose-response analysis with application to the target dose estimation

A nonparametric survival function estimator via censored kernel quantile regressions

Probability-enhanced sufficient dimension reduction for binary classification

Discussion: variable selection in large margin classifier-based probability estimation with high-dimensional predictors