Spatial Normalized Gamma Processes

@inproceedings{Rao2009SpatialNG,
  title={Spatial Normalized Gamma Processes},
  author={Vinayak A. Rao and Yee Whye Teh},
  booktitle={NIPS},
  year={2009}
}
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 Markov… CONTINUE READING

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