A semiparametric model for cluster data

DOI10.1214/08-AOS662zbMath1173.62030arXiv0908.3382OpenAlexW3100656227WikidataQ33754352 ScholiaQ33754352MaRDI QIDQ834344

Yan Sun, Wenyang Zhang, Jianqing Fan

Publication date: 19 August 2009

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0908.3382

zbMATH Keywords

varying-coefficient modelscluster effectcluster level variablelocal linear modeling

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Central limit and other weak theorems (60F05) Nonparametric tolerance and confidence regions (62G15) Mathematical geography and demography (91D20)

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Cites Work

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• Local polynomial fitting in semivarying coefficient model
• Profile-kernel likelihood inference with diverging number of parameters
• Asymptotic maximal deviation of M-smoothers
• Strong limit theorems
• Statistical estimation in varying coefficient models
• Generalized likelihood ratio statistics and Wilks phenomenon
• On some global measures of the deviations of density function estimates
• Estimation of the covariance matrix of random effects in longitudinal studies
• Variable selection in semiparametric regression modeling
• Simultaneous Confidence Bands and Hypothesis Testing in Varying-coefficient Models
• Bias-corrected Confidence Bands in Nonparametric Regression
• Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
• Smoothing Spline Estimation for Varying Coefficient Models With Repeatedly Measured Dependent Variables
• Marginal nonparametric kernel regression accounting for within-subject correlation
• Marginal Longitudinal Nonparametric Regression
• Smoothing Spline Models for the Analysis of Nested and Crossed Samples of Curves
• Asymptotic Confidence Regions for Kernel Smoothing of a Varying-Coefficient Model with Longitudinal Data
• Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
• Varying-coefficient models and basis function approximations for the analysis of repeated measurements
• Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
• A semiparametric additive regression model for longitudinal data
• Semiparametric Estimation of Covariance Matrixes for Longitudinal Data
• Semiparametric Estimation in General Repeated Measures Problems
• Estimated Estimating Equations: Semiparametric Inference for Clustered and Longitudinal Data
• Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data
• New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis
• Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data