Bayesian latent variable model for mixed continuous and ordinal responses with possibility of missing responses

DOI10.1080/02664763.2010.484485OpenAlexW2061043626MaRDI QIDQ5124832

Ehsan Bahrami Samani, Mojtaba Ganjali

Publication date: 30 September 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2010.484485

zbMATH Keywords

sensitivity analysisMarkov chain Monte CarloGibbs samplerBayesian inferencemissing responsesjoint modellingordinal and continuous responsesposterior displacement

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

A Bayesian conditional model for bivariate mixed ordinal and skew continuous longitudinal responses using quantile regression ⋮ A Bayesian shared parameter model for joint modeling of longitudinal continuous and binary outcomes

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• Regression Models for Mixed Discrete and Continuous Responses with Potentially Missing Values
• Multivariate Correlation Models with Mixed Discrete and Continuous Variables

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