Semiparametric penalized quadratic inference functions for longitudinal data in ultra-high dimensions

DOI10.1016/j.jmva.2023.105175zbMath1520.62021MaRDI QIDQ6097548

Yan Yu, Unnamed Author, Heng Lian, Unnamed Author

Publication date: 5 June 2023

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

zbMATH Keywords

longitudinal datamodel selectionsingle-index modelpartially linear modelmultivariate correlated response

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Generalized linear models (logistic models) (62J12)

Cites Work

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• Large Sample Properties of Generalized Method of Moments Estimators
• Penalised spline estimation for generalised partially linear single-index models
• Improving generalised estimating equations using quadratic inference functions
• Quadratic inference functions for partially linear single-index models with longitudinal data
• Estimation and variable selection for generalized additive partial linear models
• Penalized quadratic inference functions for single-index models with longitudinal data
• Variable selection in nonparametric additive models
• Estimation and variable selection for quantile partially linear single-index models
• Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates
• Partially linear single index models for repeated measurements
• Penalized Generalized Estimating Equations for High-Dimensional Longitudinal Data Analysis
• Shrinkage Tuning Parameter Selection with a Diverging number of Parameters
• Generating Spike Trains with Specified Correlation Coefficients
• Generalized Partially Linear Single-Index Models
• Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Penalized Spline Estimation for Partially Linear Single-Index Models
• Sure Independence Screening for Ultrahigh Dimensional Feature Space
• Informative Estimation and Selection of Correlation Structure for Longitudinal Data
• Conditional Inference Functions for Mixed-Effects Models With Unspecified Random-Effects Distribution
• Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data
• Variable selection and estimation for partially linear single-index models with longitudinal data

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