Bias annihilating bandwidths for kernel density estimation at a point

DOI10.1016/S0167-7152(98)00037-6zbMath0903.62029OpenAlexW2082305535MaRDI QIDQ1265981

Martin L. Hazelton

Publication date: 6 January 1999

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

Full work available at URL: https://doi.org/10.1016/s0167-7152(98)00037-6

zbMATH Keywords

mean squared errorunbiased estimationbandwidth selectionkernel density estimationlocal smoothing

Mathematics Subject Classification ID

Density estimation (62G07)

Related Items

BIAS REDUCTION AND ELIMINATION WITH KERNEL ESTIMATORS ⋮ Density estimates of low bias ⋮ On nonparametric local inference for density estimation ⋮ Local bandwidth selectors for deconvolution kernel density estimation ⋮ Zero-Bias Locally Adaptive Density Estimators ⋮ An optimal local bandwidth selector for kernel density estimation ⋮ Multivariate locally adaptive density estimation.

Uses Software

• KernSmooth
• pyuvdata

Cites Work

• Optimal rates of convergence for nonparametric estimators
• Progress in data-based bandwidth selection for kernel density estimation
• Remarks on Some Nonparametric Estimates of a Density Function
• Some Errors Associated with the Non-parametric Estimation of Density Functions
• On Locally Adaptive Density Estimation
• On the Best Obtainable Asymptotic Rates of Convergence in Estimation of a Density Function at a Point
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item