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A stick-breaking construction of the beta process

Publication ,  Journal Article
Paisley, J; Zaas, A; Woods, CW; Ginsburg, GS; Carin, L
Published in: ICML 2010 - Proceedings, 27th International Conference on Machine Learning
September 17, 2010

We present and derive a new stick-breaking construction of the beta process. The construction is closely related to a special case of the stick-breaking construction of the Dirich-let process (Sethuraman, 1994) applied to the beta distribution. We derive an inference procedure that relies on Monte Carlo integration to reduce the number of parameters to be inferred, and present results on synthetic data, the MNIST handwritten digits data set and a time-evolving gene expression data set. Copyright 2010 by the author(s)/owner(s).

Duke Scholars

Published In

ICML 2010 - Proceedings, 27th International Conference on Machine Learning

Publication Date

September 17, 2010

Start / End Page

847 / 854
 

Citation

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Paisley, J., Zaas, A., Woods, C. W., Ginsburg, G. S., & Carin, L. (2010). A stick-breaking construction of the beta process. ICML 2010 - Proceedings, 27th International Conference on Machine Learning, 847–854.
Paisley, J., A. Zaas, C. W. Woods, G. S. Ginsburg, and L. Carin. “A stick-breaking construction of the beta process.” ICML 2010 - Proceedings, 27th International Conference on Machine Learning, September 17, 2010, 847–54.
Paisley J, Zaas A, Woods CW, Ginsburg GS, Carin L. A stick-breaking construction of the beta process. ICML 2010 - Proceedings, 27th International Conference on Machine Learning. 2010 Sep 17;847–54.
Paisley, J., et al. “A stick-breaking construction of the beta process.” ICML 2010 - Proceedings, 27th International Conference on Machine Learning, Sept. 2010, pp. 847–54.
Paisley J, Zaas A, Woods CW, Ginsburg GS, Carin L. A stick-breaking construction of the beta process. ICML 2010 - Proceedings, 27th International Conference on Machine Learning. 2010 Sep 17;847–854.

Published In

ICML 2010 - Proceedings, 27th International Conference on Machine Learning

Publication Date

September 17, 2010

Start / End Page

847 / 854