The rates of convergence of kernel regression estimates and classification rules

DOI10.1109/TIT.1986.1057226zbMath0614.62050OpenAlexW2052901308MaRDI QIDQ4721404

Adam Krzyżak

Publication date: 1986

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tit.1986.1057226

zbMATH Keywords

efficiencyrates of convergenceweak and strong convergencerecursive estimatesParzen kernel regressionDevroye-Wagner regression estimateskernel classification rulesnonparametric Bayes predictionWolverton-Wagner regression estimate

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Nonparametric estimation (62G05)

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