You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
POSTERIOR CONSISTENCY OF SPECIES SAMPLING PRIORS
Gun Ho Jang, Jaeyong Lee and Sangyeol Lee
Vol. 20, No. 2 (April 2010), pp. 581-593
Published by: Institute of Statistical Science, Academia Sinica
Stable URL: http://www.jstor.org/stable/24309011
Page Count: 13
You can always find the topics here!Topics: Probability distributions, Species, Statism, Firearms, Sufficient conditions, Statistics, Random variables, Statistical models, Probabilities, Nonparametric models
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
Recently there has been increasing interest in species sampling priors, the nonparametric priors defined as the directing random probability measures of the species sampling sequences. In this paper, we show that not all of the species sampling priors produce consistent posteriors. In particular, in the class of Pitman-Yor process priors, the only priors rendering posterior consistency are essentially the Dirichlet process priors. Under certain conditions, we also give a set of necessary and sufficient conditions for the posterior consistency for the general species sampling prior. Considered examples include the normalized inverse-Gaussian process, the Poisson-Kingman partition, and the Gibbs partition.
Statistica Sinica © 2010 Institute of Statistical Science, Academia Sinica