Stick-breaking construction for the Indian buffet process
The Indian buffet process (IBP) is a Bayesian nonparametric distribution whereby objects are modelled using an unbounded number of latent features. In this paper we derive a stick-breaking representation for the IBP. Based on this new representation, we develop slice samplers for the IBP that are ef...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2007
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