Semiparametric GEE analysis in partially linear single-index models for longitudinal data
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Publication:2515493
DOI10.1214/15-AOS1320zbMath1317.62036arXiv1507.08473MaRDI QIDQ2515493
Suojin Wang, Degui Li, Jia Chen, Hua Liang
Publication date: 5 August 2015
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1507.08473
Multivariate analysis (62H99) Nonparametric statistical resampling methods (62G09) Nonparametric inference (62G99)
Related Items (19)
Subject-wise empirical likelihood inference in partial linear models for longitudinal data ⋮ GEE analysis for longitudinal single-index quantile regression ⋮ Statistical inference for the partially linear single-index model of panel data with serially correlated error structure ⋮ A novel robust approach for analysis of longitudinal data ⋮ Inferences for extended partially linear single-index models ⋮ Ultra high‐dimensional semiparametric longitudinal data analysis ⋮ Oracally efficient estimation and simultaneous inference in partially linear single-index models for longitudinal data ⋮ Semiparametric function-on-function quantile regression model with dynamic single-index interactions ⋮ Asymptotic inferences in a doubly-semi-parametric linear longitudinal mixed model ⋮ A Novel Estimation Method in Generalized Single Index Models ⋮ GEE-Assisted Variable Selection for Latent Variable Models with Multivariate Binary Data ⋮ Efficient estimation in partially linear single‐index models for longitudinal data ⋮ Semi-parametric dynamic models for longitudinal ordinal categorical data ⋮ Two step estimations for a single-index varying-coefficient model with longitudinal data ⋮ Semiparametric GEE analysis in partially linear single-index models for longitudinal data ⋮ Inferences with generalized partially linear single-index models for longitudinal data ⋮ Optimal shrinkage estimations in partially linear single-index models for binary longitudinal data ⋮ Simultaneous confidence bands and global inferences for extended partially linear single-index models ⋮ Estimation in quantile regression models for correlated data with diverging number of covariates and large cluster sizes
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