Bayesian composite quantile regression for linear mixed-effects models

DOI10.1080/03610926.2016.1161798zbMath1376.62025OpenAlexW2498354217MaRDI QIDQ5368806

Heng Lian, Yu-Zhu Tian, Mao-Zai Tian

Publication date: 10 October 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2016.1161798

zbMATH Keywords

mixed-effects modelsMCMC algorithmcomposite quantile regression (CQR)PCALD

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

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Weighted composite quantile regression for longitudinal mixed effects models with application to AIDS studies ⋮ Bayesian joint-quantile regression ⋮ Quantile regression in random effects meta-analysis model ⋮ Identification of Wiener model with internal noise using a cubic spline approximation-Bayesian composite quantile regression algorithm

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