Kernel‐based Generalized Cross‐validation in Non‐parametric Mixed‐effect Models

DOI10.1111/j.1467-9469.2008.00625.xzbMath1194.62058OpenAlexW2006076372MaRDI QIDQ3552976

Li Xing Zhu, Wang-li Xu

Publication date: 22 April 2010

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9469.2008.00625.x

zbMATH Keywords

bandwidth selectionasymptotic optimalitynonparametric additive mixed-effect model

Mathematics Subject Classification ID

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

Related Items

Orthogonality-projection-based estimation for semi-varying coefficient models with heteroscedastic errors, A new class of semi-mixed effects models and its application in small area estimation, Interpolating log-determinant and trace of the powers of matrix \(\mathbf{A}+ t\mathbf{B}\)

Uses Software

• gss

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Spline smoothing: The equivalent variable kernel method
• Optimal bandwidth selection in nonparametric regression function estimation
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
• Estimation in mixed effects model with errors in variables
• Optimal smoothing in nonparametric mixed-effect models
• How Far Are Automatically Chosen Regression Smoothing Parameters From Their Optimum?
• Smoothing Spline Models with Correlated Random Errors
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Laplace's approximation for nonlinear mixed models
• Empirical-Bias Bandwidths for Local Polynomial Nonparametric Regression and Density Estimation
• Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
• Bayesian inference for variance components using only error contrasts
• Equivalent kernels of smoothing splines in nonparametric regression for clustered/longitudinal data
• Smoothing spline ANOVA models