Bayesian joint relatively quantile regression of latent ordinal multivariate linear models with application to multirater agreement analysis-Reference-Cited by-同舟云学术

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Bayesian joint relatively quantile regression of latent ordinal multivariate linear models with application to multirater agreement analysis

Published:2024-08-20 Issue: Volume: Page:
ISSN:1863-8171
Container-title:AStA Advances in Statistical Analysis
language:en
Short-container-title:AStA Adv Stat Anal

Author:

Tian YuZhu,Wu ChunHo,Tang ManLai,Tian MaoZai

Funder

National Natural Science Foundation of China

National Foundation for Social Sciences of China

Funds for Innovative Fundamental Research Group Project of Gansu Province of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10182-024-00509-y.pdf

Reference23 articles.

1. Alhamzawi, R., Ali, H.T.M.: Bayesian quantile regression for ordinal longitudinal data. J. Appl. Stat. 45(5), 815–828 (2018)

2. Bhattacharya, I., Ghosal, S.: Bayesian multivariate quantile regression using dependent Dirichlet process prior. J. Multivar. Anal. 185, 104763 (2021)

3. Davino, C., Furno, M., Vistocco, D.: Quantile Regression: Theory and Applications. Wiley, New York (2014)

4. DeYoreo, M., Kottas, A.: Bayesian nonparametric modeling for multivariate ordinal regression. J. Comput. Graph. Stat. 27(1), 71–84 (2018)

5. Ghasemzadeh, S., Ganjali, M., Baghfalaki, T.: Bayesian quantile regression for analyzing ordinal longitudinal responses in the presence of non-ignorable missingness. Metron 76(3), 321–348 (2018)

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