scientific article; zbMATH DE number 3452897
From MaRDI portal
Publication:4776665
zbMath0288.60025MaRDI QIDQ4776665
Publication date: 1974
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Related Items (40)
Recursive kernel estimator in a semiparametric regression model ⋮ Recursive regression estimation based on the two-time-scale stochastic approximation method and Bernstein polynomials ⋮ Real-time estimation for functional stochastic regression models ⋮ A review of stochastic algorithms with continuous value function approximation and some new approximate policy iteration algorithms for multidimensional continuous applications ⋮ Unnamed Item ⋮ 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 ⋮ Minimizing noisy functionals in Hilbert space: An extension of the Kiefer-Wolfowitz procedure ⋮ On the strong universal consistency of a recursive regression estimate by Pál Révész ⋮ 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 ⋮ Abstract stochastic approximations and applications ⋮ Bernstein polynomial of recursive regression estimation with censored data ⋮ Optimal bandwidth selection for recursive Gumbel kernel density estimators ⋮ 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 ⋮ Nonparametric recursive estimation for multivariate derivative functions by stochastic approximation method ⋮ Two-time-scale nonparametric recursive regression estimator for independent functional data ⋮ Methodology for nonparametric bias reduction in kernel regression estimation ⋮ On H-valued Robbins-Monro processes ⋮ Data-driven bandwidth selection for recursive kernel density estimators under double truncation ⋮ Online estimation of integrated squared density derivatives ⋮ 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 ⋮ Finite dimensional approximation and Newton-based algorithm for stochastic approximation in Hilbert space ⋮ Stochastic approximation from ergodic sample for linear regression ⋮ Strong universal consistency of smooth kernel regression estimates ⋮ Recursive estimators of integrated squared density derivatives ⋮ Martingales and the Robbins-Monro procedure in \(D[0,1\)] ⋮ 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
This page was built for publication: