On good deterministic smoothing sequences for kernel density estimates

DOI10.1214/AOS/1176325500zbMath0805.62039OpenAlexW2067117017MaRDI QIDQ1339696

Luc P. Devroye

Publication date: 5 December 1994

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176325500

zbMATH Keywords

smoothingprobabilistic methodkernel estimatedeterministic sequence

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) (L^p)-limit theorems (60F25)

Related Items (5)

A universally acceptable smoothing factor for kernel density estimates ⋮ A cross-validation bandwidth choice for kernel density estimates with selection biased data ⋮ Universal smoothing factor selection in density estimation: theory and practice. (With discussion) ⋮ Median cross-validation criterion ⋮ Choice of neighbor order in nearest-neighbor classification

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