Joint mixed membership modeling of multivariate longitudinal and survival data for learning the individualized disease progression
Author:
Affiliation:
1. Department of Statistics, The Chinese University of Hong Kong
2. Department of Statistics, Sun Yat-sen University
Publisher
Institute of Mathematical Statistics
Reference59 articles.
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2. Frühwirth-Schnatter, S. (2006). Finite Mixture and Markov Switching Models. Springer Series in Statistics. Springer, New York.
3. Gormley, I. C. and Murphy, T. B. (2009). A grade of membership model for rank data. Bayesian Anal. 4 265–295.
4. MANRIQUE-VALLIER, D. (2014). Longitudinal mixed membership trajectory models for disability survey data. Ann. Appl. Stat. 8 2268–2291.
5. WOOD, S. N. (2017). Generalized Additive Models: An Introduction with R. Texts in Statistical Science Series. CRC Press, Boca Raton, FL.
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