Asymptotic estimate of probability of misclassification for discriminant rules based on density estimates

DOI10.1016/0167-7152(89)90088-6zbMath0668.62040OpenAlexW1981565774MaRDI QIDQ1118294

Kamal C. Chanda, Frits H. Ruymgaart

Publication date: 1989

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(89)90088-6

zbMATH Keywords

rate of convergencetail behavioroptimal classification ruleprobability of misclassificationdiscriminant rulekernel function density estimates

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05)

Related Items (4)

Asymptotic expansions of the probabilities of misclassification for k-NN discriminant rules ⋮ Bandwidth choice for nonparametric classification ⋮ Convergence rates in nonparametric estimation of level sets ⋮ Optimal weighted nearest neighbour classifiers

Cites Work

• Asymptotic Properties of Classification Rules Based on Wilcoxon-Type Statistics
• Probability Inequalities for Sums of Bounded Random Variables
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