A Class of Improved Parametrically Guided Nonparametric Regression Estimators

DOI10.1080/07474930801960444zbMath1140.62034OpenAlexW2042463979MaRDI QIDQ3518462

Aman Ullah, Carlos Martins-Filho, Santosh Mishra

Publication date: 8 August 2008

Published in: Econometric Reviews (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474930801960444

zbMATH Keywords

tablesasymptotic normalitycombined semiparametric estimation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

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Cites Work

• Smooth optimum kernel estimators of densities, regression curves and modes
• Goodness-of-fit statistics for discrete multivariate data
• Consistent nonparametric regression. Discussion
• Locally parametric nonparametric density estimation
• Multivariate locally weighted least squares regression
• Semiparametric density estimation by local \(L_ 2\)-fitting.
• Nonparametric density estimation with a parametric start
• A local generalized method of moments estimator
• Asymptotic normality of a combined regression estimator
• Efficient estimation of conditional variance functions in stochastic regression
• Information Theoretic Approaches to Inference in Moment Condition Models
• Parametrically Guided Non‐parametric Regression
• A simple bias reduction method for density estimation
• Boosting kernel density estimates: A bias reduction technique?
• Maximum Likelihood Estimation of Misspecified Models