Bayesian quantile regression for ordinal longitudinal data
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Publication:5035762
DOI10.1080/02664763.2017.1315059OpenAlexW2288940037MaRDI QIDQ5035762
Rahim Alhamzawi, Haithem Taha Mohammad Ali
Publication date: 22 February 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1603.00297
Related Items (13)
Bayesian quantile semiparametric mixed-effects double regression models ⋮ Bayesian quantile regression for longitudinal count data ⋮ Bayesian reciprocal LASSO quantile regression ⋮ Bayesian quantile regression for joint modeling of longitudinal mixed ordinal and continuous data ⋮ Bayesian single-index quantile regression for ordinal data ⋮ Bayesian non-homogeneous cumulative probability models for ordinal data from designed experiments ⋮ Dynamic quantile linear models: a Bayesian approach ⋮ A discrete density approach to Bayesian quantile and expectile regression with discrete responses ⋮ Bayesian quantile regression for analyzing ordinal longitudinal responses in the presence of non-ignorable missingness ⋮ Fully Bayesian estimation of simultaneous regression quantiles under asymmetric Laplace distribution specification ⋮ Bayesian bridge-randomized penalized quantile regression for ordinal longitudinal data, with application to firm's bond ratings ⋮ Bayesian nonlinear quantile regression approach for longitudinal ordinal data ⋮ Quantile regression via the EM algorithm for joint modeling of mixed discrete and continuous data based on Gaussian copula
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