Michael D. Power

1paper

1 Paper

MEFeb 2, 2022
A selective review of sufficient dimension reduction for multivariate response regression

Yuexiao Dong, Abdul-Nasah Soale, Michael D. Power

We review sufficient dimension reduction (SDR) estimators with multivariate response in this paper. A wide range of SDR methods are characterized as inverse regression SDR estimators or forward regression SDR estimators. The inverse regression family include pooled marginal estimators, projective resampling estimators, and distance-based estimators. Ordinary least squares, partial least squares, and semiparametric SDR estimators, on the other hand, are discussed as estimators from the forward regression family.