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Universal Local Linear Kernel Estimators in Nonparametric Regression

New local linear estimators are proposed for a wide class of nonparametric regression models. The estimators are uniformly consistent regardless of satisfying traditional conditions of dependence of design elements. The estimators are the solutions of a specially weighted least-squares method. The d...

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Autori principali: Yuliana Linke, Igor Borisov, Pavel Ruzankin, Vladimir Kutsenko, Elena Yarovaya, Svetlana Shalnova
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2022-07-01
Serie:Mathematics
Soggetti:
nonparametric regression
kernel estimator
local linear estimator
uniform consistency
fixed design
random design
Accesso online:https://www.mdpi.com/2227-7390/10/15/2693
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