Plug‐in bandwidth selector for recursive kernel regression estimators defined by stochastic approximation method

DOI10.1111/stan.12069WikidataQ57519964 ScholiaQ57519964MaRDI QIDQ6063606

Yousri Slaoui

Publication date: 12 December 2023

Published in: Statistica Neerlandica (Search for Journal in Brave)

zbMATH Keywords

bandwidth selectionregression estimationstochastic approximation algorithm

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Nonparametric inference (62Gxx) Sequential statistical methods (62Lxx)

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Recursive kernel regression estimation under α – mixing data ⋮ Bandwidth selector for nonparametric recursive density estimation for spatial data defined by stochastic approximation method ⋮ Asymptotic normality of the regression mode in the nonparametric random design model for censored data ⋮ Nonparametric recursive estimation for multivariate derivative functions by stochastic approximation method ⋮ Data-driven bandwidth selection for recursive kernel density estimators under double truncation ⋮ Data-driven deconvolution recursive kernel density estimators defined by stochastic approximation method ⋮ Nonparametric relative recursive regression estimators for censored data ⋮ On the choice of smoothing parameters for semirecursive nonparametric hazard estimators

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