Contour regression: A general approach to dimension reduction
Contour regression: A general approach to dimension reduction
We propose a novel approach to sufficient dimension reduction in regression, based on estimating contour directions of small variation in the response. These directions span the orthogonal complement of the minimal space relevant for the regression and can be extracted according to two measures of variation in the response, leading …