Stick-breaking Processes
Stick-Breaking Processes is a stochastic process in Bayesian nonparametrics that generates a discrete probability distribution by recursively partitioning the unit interval into diminishing segments, where each segment represents the weight of a component in an infinite mixture model.
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145
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79
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2017–2026
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Variants
Stick-breaking Process
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Hierarchical Dirichlet Processes
Yee Whye Teh, Michael I. Jordan, Matthew J. Beal et al. · Journal of the American Statistical Association · 2006 · 3.6K citations
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Duke University
Durham, United States
17 h-index
52 publications
6.3K citations
Collegio Carlo Alberto
Moncalieri, Italy
6 h-index
6 publications
122 citations
Princeton University
Princeton, United States
4 h-index
6 publications
134 citations

Bocconi University
Milan, Italy
3 h-index
7 publications
202 citations
University of California, Irvine
Irvine, United States
3 h-index
7 publications
268 citations
The University of Texas at Austin
Austin, United States
3 h-index
6 publications
96 citations
University of Pavia
Pavia, Italy
3 h-index
3 publications
97 citations
University of California, Berkeley
Berkeley, United States
3 h-index
5 publications
410 citations
1–8 of 79
11 publications · 6.4K citations
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9 publications · 609 citations
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Repository · 8 publications · 312 citations
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JAP · 4 publications · 164 citations
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4 publications · 525 citations
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