Bayesian quantile regression for joint modeling of longitudinal mixed ordinal and continuous data

DOI10.1080/03610918.2018.1484482OpenAlexW2902207610MaRDI QIDQ5087941

S. Ghasemzadeh, T. Baghfalaki, Mojtaba Ganjali

Publication date: 4 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1484482

zbMATH Keywords

longitudinal dataquantile regressionGibbs samplerasymmetric Laplace distributionrandom effect model

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (6)

Bayesian quantile regression for longitudinal count data ⋮ Analysis of ordinal and continuous longitudinal responses using pair copula construction ⋮ Joint Bayesian longitudinal models for mixed outcome types and associated model selection techniques ⋮ Bayesian bridge-randomized penalized quantile regression for ordinal longitudinal data, with application to firm's bond ratings ⋮ A joint model for mixed longitudinal k-category inflation ordinal and continuous responses ⋮ Quantile regression via the EM algorithm for joint modeling of mixed discrete and continuous data based on Gaussian copula

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