Vines in Overview

Roger Cooke

Vines are a graphical tool for picking out bivariate and conditional bivariate distributions which uniquely determine the joint distribution. The bivariate distributions can be further characterized as 1 dimensional marginals plus (conditional) copulae. This paper will review the theory of vines and address open issues, including vine learning and vine regression.