A note on unconditional properties of a parametrically guided Nadaraya-Watson estimator

DOI10.1016/S0167-7152(97)00106-5zbMath0927.62038OpenAlexW2042106692MaRDI QIDQ1382202

Ingrid K. Glad

Publication date: 14 December 1999

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(97)00106-5

zbMATH Keywords

bias reductionkernel estimatorscorrection factorsemiparametric regressionunconditional properties

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08)

Related Items (3)

Nonparametric regression under alternative data environments ⋮ SEMIPARAMETRIC REGRESSION WITH MULTIPLICATIVE ADJUSTMENT ⋮ Discrete semiparametric regression models with associated kernel and applications

Cites Work

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• Multivariate locally weighted least squares regression
• Nonparametric density estimation with a parametric start
• Local linear regression smoothers and their minimax efficiencies
• Finite-Sample Variance of Local Polynomials: Analysis and Solutions
• Parametrically Guided Non‐parametric Regression

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