RECENT RESULTS ON NONPARAMETRIC REGRESSION ESTIMATE AND MULTIPLE CLASSIFICATION.

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Abstract

The universal consistency is proved for nonparametric regression and nonparametric decision procedures in real-life information processing. More distinctly, strong and weak universal consistency of nonparametric regression estimate and multiple classification by the nearest neighbor and kernel estimates are investigated.

Original languageEnglish
Pages (from-to)43-52
Number of pages10
JournalProblems of control and information theory
Volume10
Issue number1
Publication statusPublished - Jan 1 1981

ASJC Scopus subject areas

  • Engineering(all)

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