Estimation on semivarying coefficient models with different degrees of smoothness

DOI10.1007/S11424-009-9179-1zbMath1185.62081OpenAlexW2131668768MaRDI QIDQ967997

Kaichun Wen, Jianhua Ding, Jing-Yan Feng, Ri-quan Zhang

Publication date: 3 May 2010

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-009-9179-1

zbMATH Keywords

local polynomial regressionoptimal rate of convergencetwo-step estimationsemi-varying coefficient modelone-step estimation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

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Cites Work

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• Local polynomial fitting in semivarying coefficient model
• Profile likelihood inferences on semiparametric varying-coefficient partially linear models
• Statistical estimation in varying coefficient models
• An Effective Bandwidth Selector for Local Least Squares Regression
• Weak and strong uniform consistency of kernel regression estimates
• Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
• Empirical-Bias Bandwidths for Local Polynomial Nonparametric Regression and Density Estimation
• Functional-Coefficient Regression Models for Nonlinear Time Series

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