| Registrer deg | Logg på | FAQ | [?] |
Stick-breaking Construction for the Indian Buffet Process(2007)
|
Reviews
[Write a review of this article]
There are no reviews of this article
Find related articles from these CiteULike users
Find related articles with these CiteULike tags
AbstractThe 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 rep- resentation, we develop slice samplers for the IBP that are efficient, easy to implement and are more generally applicable than the currently available Gibbs sampler. This representation, along with the work of Thibaux and Jordan [17], also illuminates interesting theoretical connec- tions between the IBP, Chinese restaurant pro- cesses, Beta processes and Dirichlet processes.
BibTeX record
RIS record