A new GEE method to account for heteroscedasticity using asymmetric least-square regressions

DOI10.1080/02664763.2021.1957789OpenAlexW3186659415MaRDI QIDQ5044667

Arthur Charpentier, Karim Oualkacha, Amadou Diogo Barry

Publication date: 2 November 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1810.09214

zbMATH Keywords

longitudinal dataquantile regressionexpectile regressioncluster dataGEE working correlation

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (3)

expectgee ⋮ Alternative fixed-effects panel model using weighted asymmetric least squares regression ⋮ expectreg

Uses Software

• R
• SAS
• geepack
• copula
• copula
• SAS/STAT
• erboost
• hidetify

Cites Work

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• Longitudinal data analysis using generalized linear models
• A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
• Asymmetric Least Squares Estimation and Testing
• Linear quantile regression models for longitudinal experiments: an overview
• Smooth expectiles for panel data using penalized splines
• Smoothing combined estimating equations in quantile regression for longitudinal data
• Influential observations, high leverage points, and outliers in linear regression
• Asymptotics for generalized estimating equations with large cluster sizes
• Expectile regression for analyzing heteroscedasticity in high dimension
• An SVM-like approach for expectile regression
• Nonlinear expectile regression with application to value-at-risk and expected shortfall estimation
• Bayesian regularisation in geoadditive expectile regression
• Quantile regression for longitudinal data
• Distributed optimization and statistical learning for large-scale penalized expectile regression
• Asymptotic results with generalized estimating equations for longitudinal data
• Penalized expectile regression: an alternative to penalized quantile regression
• Iterative estimating equations: Linear convergence and asymptotic properties
• Simultaneous multiple non-crossing quantile regression estimation using kernel constraints
• Akaike's Information Criterion in Generalized Estimating Equations
• Instrumental Variables Regression with Independent Observations
• On the Estimation of Production Frontiers: Maximum Likelihood Estimation of the Parameters of a Discontinuous Density Function
• Regression Quantiles
• Nonparametric conditional autoregressive expectile model via neural network with applications to estimating financial risk
• Generalized Estimating Equations
• Bayesian expectile regression with asymmetric normal distribution
• Nonparametric multiple expectile regression via ER-Boost
• Quantile Regression for Correlated Observations
• Quantile Regression Models with Multivariate Failure Time Data
• An elastic-net penalized expectile regression with applications

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