1 |
Gelfand, Alan E., and Adrian FM Smith. "Samplingbased approaches to calculating marginal densities." Journal of the American statistical association 85.410 (1990): 398-409.
DOI
|
2 |
Ferguson, Thomas S. "A Bayesian analysis of some nonparametric problems." The annals of statistics (1973): 209-230.
|
3 |
Sethuraman, Jayaram. "A constructive definition of Dirichlet priors." Statistica sinica (1994): 639-650.
|
4 |
Escobar, Michael D., and Mike West. "Bayesian density estimation and inference using mixtures." Journal of the american statistical association 90.430 (1995): 577-588.
DOI
|
5 |
Blei, David M., and Michael I. Jordan. "Variational inference for Dirichlet process mixtures." Bayesian analysis 1.1 (2006): 121-144.
DOI
|
6 |
Gorur, Dilan. "Nonparametric Bayesian Discrete Latent Variable Models for Unsupervised Learning." (2007).
|
7 |
Xing, Eric P., Michael I. Jordan, and Roded Sharan. "Bayesian haplotype inference via the Dirichlet process." Journal of Computational Biology 14.3 (2007): 267-284.
DOI
|
8 |
Teh, Yee Whye, et al. "Hierarchical dirichlet processes." Journal of the american statistical association (2012).
|
9 |
Blei, David M., Andrew Y. Ng, and Michael I. Jordan. "Latent dirichlet allocation." Journal of machine Learning research 3.Jan (2003): 993-1022.
|
10 |
Sudderth, Erik B., et al. "Describing visual scenes using transformed objects and parts." International Journal of Computer Vision 77.1-3 (2008): 291-330.
DOI
|
11 |
Pitman, Jim, and Marc Yor. "The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator." The Annals of Probability (1997): 855-900.
|
12 |
Williamson, Sinead, Avinava Dubey, and Eric P. Xing. "Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models." ICML (1). 2013.
|
13 |
Blei, David M., and John D. Lafferty. "Dynamic topic models." Proceedings of the 23rd international conference on Machine learning. ACM, 2006.
|