Bandwidth selection for kernel density estimation with length-biased data

DOI10.1080/10485252.2017.1339309zbMath1416.62191arXiv1606.05584OpenAlexW2442468904MaRDI QIDQ4600186

M. I. Borrajo, María Dolores Martínez Miranda, Wenceslao González Manteiga

Publication date: 5 January 2018

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1606.05584

zbMATH Keywords

bootstrapcross-validationnonparametricweighted datarule-of-thumb

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric statistical resampling methods (62G09)

Related Items (5)

Kernel based estimation of the distribution function for length biased data ⋮ Automatic bandwidth selection for recursive kernel density estimators with length-biased data ⋮ Novel kernel density estimator based on ensemble unbiased cross-validation ⋮ Bootstrapping kernel intensity estimation for inhomogeneous point processes with spatial covariates ⋮ Kernel estimation of extropy function under length-biased sampling

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