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Title: A selective review of sufficient dimension reduction for multivariate response regression Authors:  Abdul-Nasah Soale - Case Western Reserve University (United States) [presenting]
Abstract: Sufficient dimension reduction (SDR) estimators with multivariate response are reviewed. A wide range of SDR methods are characterized as inverse regression SDR estimators or forward regression SDR estimators. The inverse regression family includes pooled marginal estimators, projective resampling estimators, and distance-based estimators. On the other hand, ordinary least squares, partial least squares, and semiparametric SDR estimators are discussed as estimators from the forward regression family.