How to apply the method of stochastic approximation in the non-parametric estimation of a regression function1
From MaRDI portal
Publication:4148716
DOI10.1080/02331887708801361zbMath0369.62098OpenAlexW2040048365MaRDI QIDQ4148716
Publication date: 1977
Published in: Series Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331887708801361
Linear regression; mixed models (62J05) Nonparametric estimation (62G05) Stochastic approximation (62L20)
Related Items
Recursive kernel estimator in a semiparametric regression model, Nonparametric relative recursive regression, Automatic bandwidth selection for recursive kernel density estimators with length-biased data, The stochastic approximation method for recursive kernel estimation of the conditional extreme value index, Recursive kernel regression estimation under α – mixing data, Online estimation of hazard rate under random censoring, The multivariate Révész's online estimator of a regression function and its averaging, Bandwidth selector for nonparametric recursive density estimation for spatial data defined by stochastic approximation method, Unnamed Item, On the use of stochastic approximation in recursive estimation, Bernstein polynomial of recursive regression estimation with censored data, Optimal bandwidth selection for recursive Gumbel kernel density estimators, Recursive identification of errors-in-variables Wiener-Hammerstein systems, Plug‐in bandwidth selector for recursive kernel regression estimators defined by stochastic approximation method, Large and moderate deviation principles for nonparametric recursive kernel distribution estimators defined by stochastic approximation method, Unnamed Item, Nonparametric recursive estimation for multivariate derivative functions by stochastic approximation method, Optimal One-Pass Nonparametric Estimation Under Memory Constraint, Methodology for nonparametric bias reduction in kernel regression estimation, Recursive estimation of the conditional geometric median in Hilbert spaces, Data-driven bandwidth selection for recursive kernel density estimators under double truncation, Online estimation of integrated squared density derivatives, Strong convergence in nonparametric estimation of regression functions, A compact law of the iterated logarithm for online estimator of hazard rate under random censoring, Bandwidth selection for recursive kernel density estimators defined by stochastic approximation method, The stochastic approximation method for estimation of a distribution function, Recursive estimators of integrated squared density derivatives, On the L 1 convergence of kernel estimators of regression functions with applications in discrimination, Unnamed Item, The stochastic approximation method for the estimation of a multivariate probability density, Nonparametric relative recursive regression estimators for censored data, Recursive kernel density estimation and optimal bandwidth selection under \(\alpha\): mixing data, Recursive local polynomial regression under dependence conditions