Nonparametric regression for dependent data in the errors-in-variables problem

DOI10.1016/j.jspi.2010.05.010zbMath1203.62068OpenAlexW2098899819MaRDI QIDQ989268

Toshio Honda

Publication date: 19 August 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: http://gcoe.ier.hit-u.ac.jp/research/discussion/2008/pdf/gd09-092.pdf

zbMATH Keywords

local polynomial regressiondeconvolutionlong-range dependencelinear processeserrors-in-variablesordinary smooth casesupersmooth case

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) General nonlinear regression (62J02)

Related Items

Insensitivity of Nadaraya–Watson estimators to design correlation ⋮ Universal kernel-type estimation of random fields ⋮ Universal weighted kernel-type estimators for some class of regression models ⋮ The non parametric regression estimate with dependent measurement errors ⋮ Consistency and asymptotic normality for a nonparametric prediction under measurement errors

Uses Software

• longmemo

Cites Work

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