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A kernel-based combined classification rule

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  • Mojirsheibani, Majid

Abstract

This article deals with a weighted-type combined classification rule where the combining is based on a data discretization and the "weights" are determined by exponential kernels. The smoothing parameter of the kernel is estimated by a data-splitting approach. Both the mechanics and the asymptotic validity of the proposed procedure are discussed.

Suggested Citation

  • Mojirsheibani, Majid, 2000. "A kernel-based combined classification rule," Statistics & Probability Letters, Elsevier, vol. 48(4), pages 411-419, July.
    • Handle: RePEc:eee:stapro:v:48:y:2000:i:4:p:411-419
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    References listed on IDEAS

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    1. Mojirsheibani, M., 1997. "A consistent combined classification rule," Statistics & Probability Letters, Elsevier, vol. 36(1), pages 43-47, November.
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