Using the bootstrap to estimate mean squared error and select smoothing parameter in nonparametric problems

DOI10.1016/0047-259X(90)90080-2zbMath0722.62030MaRDI QIDQ756327

Publication date: 1990

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

mean squared error density estimation nonparametric regression kernel density estimate smoothing parameter bootstrap estimation of a bias bootstrap sample size Lp-distances tail parameter estimation

Mathematics Subject Classification ID

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

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