Robust empirical likelihood inference for generalized partial linear models with longitudinal data

DOI10.1016/j.jmva.2011.08.003zbMath1297.62166OpenAlexW2029489153MaRDI QIDQ764472

Guoyou Qin, Yang Bai, Zhong-yi Zhu

Publication date: 13 March 2012

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

Full work available at URL: https://doi.org/10.1016/j.jmva.2011.08.003

zbMATH Keywords

robustnesslongitudinal dataefficiencygeneralized estimating equationsempirical likelihoodB-splinegeneralized partial linear models

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric robustness (62G35) Generalized linear models (logistic models) (62J12) Applications of functional analysis in probability theory and statistics (46N30)

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Robust empirical likelihood inference for partially linear varying coefficient models with longitudinal data ⋮ Bayesian influence analysis of generalized partial linear mixed models for longitudinal data ⋮ Modal regression statistical inference for longitudinal data semivarying coefficient models: generalized estimating equations, empirical likelihood and variable selection ⋮ Robust and efficient estimator for simultaneous model structure identification and variable selection in generalized partial linear varying coefficient models with longitudinal data ⋮ Robust estimation and empirical likelihood inference with exponential squared loss for panel data models ⋮ Copula and composite quantile regression-based estimating equations for longitudinal data ⋮ Robust and efficient estimating equations for longitudinal data partial linear models and its applications ⋮ Robust empirical likelihood for time series

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