Quadratic inference functions for partially linear single-index models with longitudinal data

DOI10.1016/j.jmva.2013.03.019zbMath1277.62093OpenAlexW1972811628MaRDI QIDQ391628

Peng Lai, Heng Lian, Gao Rong Li

Publication date: 10 January 2014

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2013.03.019

zbMATH Keywords

bias correctiongeneralized likelihood ratioQIF

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Measures of association (correlation, canonical correlation, etc.) (62H20) Monte Carlo methods (65C05)

Related Items (15)

Joint estimation for single index mean-covariance models with longitudinal data ⋮ Composite quantile regression for correlated data ⋮ Estimation and variable selection for proportional response data with partially linear single-index models ⋮ GEE analysis for longitudinal single-index quantile regression ⋮ Estimation and hypothesis test for partial linear single-index multiplicative models ⋮ Semiparametric penalized quadratic inference functions for longitudinal data in ultra-high dimensions ⋮ Efficient estimation for marginal generalized partially linear single-index models with longitudinal data ⋮ Partially linear single index models for repeated measurements ⋮ Two step estimations for a single-index varying-coefficient model with longitudinal data ⋮ Variable selection and estimation for partially linear single-index models with longitudinal data ⋮ Quantile regression for panel count data based on quadratic inference functions ⋮ Estimation for Partially Linear Single-index Instrumental Variables Models ⋮ Two-step combined nonparametric likelihood estimation of misspecified semiparametric models ⋮ Optimal shrinkage estimations in partially linear single-index models for binary longitudinal data ⋮ Estimation in quantile regression models for correlated data with diverging number of covariates and large cluster sizes

Cites Work

• Unnamed Item
• Large Sample Properties of Generalized Method of Moments Estimators
• Longitudinal data analysis using generalized linear models
• Estimation and testing for partially linear single-index models
• Improving generalised estimating equations using quadratic inference functions
• Asymptotic properties of estimators in a partially linear single-index model for longitudinal data
• Bias-corrected GEE estimation and smooth-threshold GEE variable selection for single-index models with clustered data
• Empirical likelihood inference in partially linear single-index models for longitudinal data
• Tests for nonparametric parts on partially linear single index models
• Penalized quadratic inference functions for single-index models with longitudinal data
• Generalized empirical likelihood inference in semiparametric regression model for longitudinal data
• Generalized likelihood ratio statistics and Wilks phenomenon
• Statistical inference of partially linear regression models with heteroscedastic errors
• Semi-parametric estimation of partially linear single-index models
• Empirical Likelihood Confidence Regions in a Partially Linear Single-Index Model
• Inferences on Nonparametric Component for Partially Linear Models
• Empirical Likelihood Semiparametric Regression Analysis for Longitudinal Data
• Partial Linear Models for Longitudinal Data Based on Quadratic Inference Functions
• Generalized Partially Linear Single-Index Models
• Semiparametric Regression for Clustered Data Using Generalized Estimating Equations
• Penalized Spline Estimation for Partially Linear Single-Index Models
• Asymptotic Statistics
• 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
• Analysis of Longitudinal Data With Semiparametric Estimation of Covariance Function
• Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data
• New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis

This page was built for publication: Quadratic inference functions for partially linear single-index models with longitudinal data