Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Optimal bandwidth selection for semi-recursive kernel regression estimators - MaRDI portal

Optimal bandwidth selection for semi-recursive kernel regression estimators

From MaRDI portal
Publication:1747599

DOI10.4310/SII.2016.V9.N3.A11zbMath1405.62042arXiv1607.00963WikidataQ57519958 ScholiaQ57519958MaRDI QIDQ1747599

Yousri Slaoui

Publication date: 8 May 2018

Published in: Statistics and Its Interface (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1607.00963




Related Items (22)

Recursive regression estimation based on the two-time-scale stochastic approximation method and Bernstein polynomialsNonparametric relative recursive regressionRecursive kernel regression estimation under α – mixing dataBandwidth selector for nonparametric recursive density estimation for spatial data defined by stochastic approximation methodBernstein polynomial of recursive regression estimation with censored dataOptimal bandwidth selection for recursive Gumbel kernel density estimatorsAsymptotic normality of the regression mode in the nonparametric random design model for censored dataNonparametric recursive method for generalized kernel estimators for dependent functional dataTwo-time-scale nonparametric recursive regression estimator for independent functional dataMethodology for nonparametric bias reduction in kernel regression estimationData-driven bandwidth selection for recursive kernel density estimators under double truncationRecursive non-parametric kernel classification rule estimation for independent functional dataWild bootstrap bandwidth selection of recursive nonparametric relative regression for independent functional dataRecursive nonparametric regression estimation for dependent strong mixing functional dataData-driven deconvolution recursive kernel density estimators defined by stochastic approximation methodUnnamed ItemNonparametric relative recursive regression estimators for censored dataRecursive kernel density estimation and optimal bandwidth selection under \(\alpha\): mixing dataLarge and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation methodNonparametric relative regression under random censorship modelOn the choice of smoothing parameters for semirecursive nonparametric hazard estimatorsSemirecursive nonparametric algorithms for Hammerstein systems with stochastic autocorrelated input







This page was built for publication: Optimal bandwidth selection for semi-recursive kernel regression estimators