Sufficient Dimension Reduction

Sufficient dimension reduction was first introduced in the early 90's as a set of graphical and diagnostic tools for regression with many predictors. Over the past two decades or so it has developed into a powerful theory and technique for handling high-dimensional data. This book will introduce the main results and important techniques in this area, and explore the current frontiers of research. These will be accompanied by numerical studies, data analysis, and computer codes.