Classification when the covariate vectors have unequal dimensions

This article deals with the problem of statistical classification when the covariate vectors can have unequal dimensions. Representations of the theoretically best classifier are given. We also propose a number of procedures for constructing consistent classifiers. Both parametric and nonparametric situations are considered but the emphasis is on the latter case. Numerical examples are also given.