Journal article
Spatial normalized gamma processes
- Abstract:
-
Dependent Dirichlet processes (DPs) are dependent sets of random measures, each being marginally DP distributed. They are used in Bayesian nonparametric models when the usual exchangeability assumption does not hold. We propose a simple and general framework to construct dependent DPs by marginalizing and normalizing a single gamma process over an extended space. The result is a set of DPs, each associated with a point in a space such that neighbouring DPs are more dependent. We describe Mark...
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Bibliographic Details
- Journal:
- Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference
- Pages:
- 1554-1562
- Publication date:
- 2009-01-01
- Source identifiers:
-
353243
Item Description
- Language:
- English
- Pubs id:
-
pubs:353243
- UUID:
-
uuid:3d1860b6-7940-40f2-930c-310639018478
- Local pid:
- pubs:353243
- Deposit date:
- 2013-11-16
Terms of use
- Copyright date:
- 2009
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