Bayesian first order auto-regressive latent variable models for multiple binary sequences

DOI10.1177/1471082X1001100601zbMath1420.62453OpenAlexW2319092424WikidataQ57723936 ScholiaQ57723936MaRDI QIDQ5193317

Fernando A. Quintana, Alessandra Guglielmi, Federica Giardina, Fabrizio Ruggeri

Publication date: 10 September 2019

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x1001100601

zbMATH Keywords

latent variablesbinary longitudinal datahierarchical Bayesian modellingfirst order auto-regressive model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

• WinBUGS

Cites Work

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• Analysis of multivariate probit models
• Optimal sampling for repeated binary measurements
• Bayesian Analysis of Binary and Polychotomous Response Data
• Bayesian auxiliary variable models for binary and multinomial regression
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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