Blocked Gibbs sampler for hierarchical Dirichlet processes
Author:
Affiliation:
1. Department of Statistics, Texas A&M University
2. Department of Mathematics, University of Houston
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10618600.2024.2388543
Reference30 articles.
1. Amini A. A. Paez M. S. Lin L. and Razaee Z. S. (2019). Exact slice sampler for Hierarchical Dirichlet Processes. ArXiv abs/1903.08829.
2. Argiento R. Cremaschi A. and Vannucci M. (2020). Hierarchical normalized completely random measures to cluster grouped data. Journal of the American Statistical Association 115:318 – 333.
3. Asuncion A. Smyth P. and Welling M. (2008). Asynchronous distributed learning of topic models. In Proceedings of the 21st International Conference on Neural Information Processing Systems NIPS’08 page 81–88 Red Hook NY USA. Curran Associates Inc.
4. Bassetti F. Casarin R. and Rossini L. (2020). Hierarchical Species Sampling Models. Bayesian Analysis 15(3):809 – 838.
5. Bryant M. and Sudderth E. (2012). Truly nonparametric online variational inference for hierarchical dirichlet processes. In Advances in Neural Information Processing Systems volume 25. Curran Associates Inc.
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