Bootstrap methods in regression smoothing∗

DOI10.1080/10485259308832566zbMath1360.62202OpenAlexW2110439395MaRDI QIDQ3432358

Ricardo Cao Abad, Wenceslao González Manteiga

Publication date: 16 April 2007

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

Full work available at URL: https://doi.org/10.1080/10485259308832566

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Nonparametric statistical resampling methods (62G09)

Related Items (11)

An updated review of goodness-of-fit tests for regression models ⋮ Computational aspects of the kNN local linear smoothing for some conditional models in high dimensional statistics ⋮ Nonparametric estimation in mixture cure models with covariates ⋮ A product‐limit estimator of the conditional survival function when cure status is partially known ⋮ Bandwidth selection for statistical matching and prediction ⋮ A Complete Framework for Model-Free Difference-in-Differences Estimation ⋮ Bootstrap bandwidth selection method for local linear estimator in exponential family models ⋮ Nonparametric bootstrap analysis with applications to demographic effects in demand functions ⋮ Comments on: ``An updated review of goodness-of-fit tests for regression models ⋮ Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models ⋮ Nonparametric quantile regression with missing data using local estimating equations

Cites Work

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• A class of linear regression parameter estimators constructed by nonparametric estimation
• Bootstrap simultaneous error bars for nonparametric regression
• On Non-Parametric Estimates of Density Functions and Regression Curves
• On Estimation of a Probability Density Function and Mode

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