Michael J. Morais

Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction

Sufficient dimension reduction (SDR) methods are a family of supervised methods for dimensionality reduction that seek to reduce dimensionality while preserving information about a target variable of interest. However, existing SDR methods typically require more observations than the number of dimen…