B1226
Title: Robust approaches for sufficient dimension reduction
Authors: Andreas Artemiou - University of Limassol (Cyprus) [presenting]
Abstract: Sufficient Dimension Reduction (SDR) is a supervised dimension reduction framework to address dimension reduction mainly in regression and classification settings. Classic methods in SDR involve the use of inverse moments. We will discuss new methods to address the outliers in SDR methodology by using multivariate medians.