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Some results on classifier selection with missing covariates

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Publication:453718
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DOI10.1007/s00184-010-0340-6zbMath1300.62044OpenAlexW2061472258MaRDI QIDQ453718

Majid Mojirsheibani

Publication date: 27 September 2012

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-010-0340-6

zbMATH Keywords

classificationkernelempirical processshatter coefficientincomplete covariates


Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Strong limit theorems (60F15)


Related Items

On the \(L_p\) norms of kernel regression estimators for incomplete data with applications to classification, On histogram-based regression and classification with incomplete data



Cites Work

  • Unnamed Item
  • Central limit theorems for empirical measures
  • A distribution-free theory of nonparametric regression
  • Weak convergence and empirical processes. With applications to statistics
  • Empirical measures for incomplete data with applications
  • On nonparametric classification with missing covariates
  • Probability Inequalities for the Sum of Independent Random Variables
  • Convergence of stochastic processes
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