Corpus ID: 16128932

Spatial Normalized Gamma Processes

@inproceedings{Rao2009SpatialNG,
  title={Spatial Normalized Gamma Processes},
  author={V. Rao and Y. Teh},
  booktitle={NIPS},
  year={2009}
}
  • V. Rao, Y. Teh
  • Published in NIPS 2009
  • Computer Science
  • 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
    56 Citations
    Functional dirichlet process
    Construction of Dependent Dirichlet Processes based on Poisson Processes
    • 88
    • PDF
    A Survey of Non-Exchangeable Priors for Bayesian Nonparametric Models
    • N. Foti, Sinead Williamson
    • Computer Science, Mathematics
    • IEEE Transactions on Pattern Analysis and Machine Intelligence
    • 2015
    • 36
    • PDF
    Dependent Normalized Random Measures
    • 33
    • PDF
    The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling
    • 48
    • PDF
    Coupled Dirichlet Processes: Beyond HDP
    • 2
    • PDF
    Bayesian inference with dependent normalized completely random measures
    • 58
    • PDF
    The Discrete Innite Logistic Normal Distribution
    • 37
    • PDF
    Coupling Nonparametric Mixtures via Latent Dirichlet Processes
    • 14
    • Highly Influenced
    • PDF

    References

    SHOWING 1-10 OF 26 REFERENCES
    Generalized Polya Urn for Time-varying Dirichlet Process Mixtures
    • 105
    • PDF
    The local Dirichlet process
    • 67
    • PDF
    Order-Based Dependent Dirichlet Processes
    • 356
    • PDF
    Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
    • 340
    • PDF
    The Nested Dirichlet Process
    • 278
    • PDF
    Bayesian nonparametric modelling with the Dirichlet process regression smoother
    • 27
    • PDF
    Normalized random measures driven by increasing additive processes
    • 63
    • PDF
    A Split-Merge Markov chain Monte Carlo Procedure for the Dirichlet Process Mixture Model
    • 439
    • Highly Influential
    Generalized spatial dirichlet process models
    • 155
    • PDF