A multivariate version of isotonic regression

Abstract

A multivariate generalization of isotonic regression is given enabling the study of statistical inference for ordered vector-valued parameters or sets of ordered parameters, including multivariate extensions of Bartholomew's Ē x ¯ k 2 and Ē k 2 . ⁠ . An iterative algorithm for computing multivariate isotonic regression is proposed and studied.