Dimension Reduction for the Conditional<i>k</i>th Moment in Regression
Dimension Reduction for the Conditional<i>k</i>th Moment in Regression
Summary The idea of dimension reduction without loss of information can be quite helpful for guiding the construction of summary plots in regression without requiring a prespecified model. Central subspaces are designed to capture all the information for the regression and to provide a population structure for dimension reduction. Here, …