Model selection for maternal hypertensive disorders with symmetric hierarchical Dirichlet processes
Author:
Affiliation:
1. Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR)
2. Department of Decision Sciences, Bocconi University
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability
Reference53 articles.
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2. Camerlenghi, F., Lijoi, A., Orbanz, P. and Prünster, I. (2019b). Distribution theory for hierarchical processes. Ann. Statist. 47 67–92.
3. Gutiérrez, L., Barrientos, A. F., González, J. and Taylor-Rodríguez, D. (2019). A Bayesian nonparametric multiple testing procedure for comparing several treatments against a control. Bayesian Anal. 14 649–675.
4. Rodríguez, A., Dunson, D. B. and Gelfand, A. E. (2008). The nested Dirichlet process. J. Amer. Statist. Assoc. 103 1131–1144.
5. CHRISTENSEN, J. and MA, L. (2020). A Bayesian hierarchical model for related densities by using Pólya trees. J. R. Stat. Soc. Ser. B. Stat. Methodol. 82 127–153.
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