Multivariate local polynomial regression for estimating average derivatives
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Publication:4470134
DOI10.1080/10485250310001605450zbMath1054.62045OpenAlexW2010835575MaRDI QIDQ4470134
Publication date: 22 June 2004
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485250310001605450
Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Asymptotic distribution theory in statistics (62E20) Monte Carlo methods (65C05)
Related Items (15)
Identification and Identification Failure for Treatment Effects Using Structural Systems ⋮ Gradient-based bandwidth selection for estimating average derivatives ⋮ Nonparametric estimation of the marginal effect in fixed-effect panel data models ⋮ On sufficient conditions for the consistency of local linear kernel estimators ⋮ Bias assessment in local regression ⋮ Identification and estimation of nonseparable single-index models in panel data with correlated random effects ⋮ Semiparametric estimation for weighted average derivatives with responses missing at random ⋮ Empirical likelihood for density-weighted average derivatives ⋮ Identification and estimation of a triangular model with multiple endogenous variables and insufficiently many instrumental variables ⋮ Smoothness adaptive average derivative estimation ⋮ Censored multiple regression by the method of average derivatives ⋮ Nonparametric estimation of single-index models in scale-space ⋮ Empirical likelihood for average derivatives ⋮ A NONPARAMETRIC TEST OF SIGNIFICANT VARIABLES IN GRADIENTS ⋮ Multivariate Local Polynomial Kernel Estimators: Leading Bias and Asymptotic Distribution
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