A law of the iterated logarithm for \(L_ 1\)-norm kernel estimator of the conditional median

DOI10.1007/BF02032919zbMath0796.60034OpenAlexW1976295249MaRDI QIDQ1314937

Sheng-Yan Hong

Publication date: 20 September 1994

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02032919

zbMATH Keywords

minimization problemlaw of the iterated logarithmconditional median\(L_ 1\)-norm kernel estimator

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Order statistics; empirical distribution functions (62G30) Strong limit theorems (60F15)

Related Items (3)

Asymptotic normality for \(L_{1}\)-norm kernel estimator of conditional median under association dependence ⋮ Asymptotic properties for l 1 norm kernel estimator of conditional median under dependence ⋮ Asymptotic normality for \(L_1\) norm kernel estimator of conditional median under \(\alpha\)-mixing dependence

Cites Work

• Unnamed Item
• A law of the iterated logarithm for nonparametric regression function estimators
• Asymptotic properties of kernel estimators based on local medians
• Laws of the iterated logarithm for nonparametric density estimators
• Remarks on a Multivariate Transformation

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