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Classification when the covariate vectors have unequal dimensions |
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| Authors: | Majid Mojirsheibani Shojaeddin Chenouri |
| Affiliation: | a School of Mathematics and Statistics, Carleton University, Ottawa, ON, Canada K1S 5B6 b Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada N2L 3G1 |
| Abstract: | 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. |
| Keywords: | Classification Unequal dimensions Optimal classifier Consistency |
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