Sufficientness postulates for Gibbs-type priors and hierarchical generalizations
<p>A fundamental problem in Bayesian nonparametrics consists of selecting a prior distribution by assuming that the corresponding predictive probabilities obey certain properties. An early discussion of such a problem, although in a parametric framework, dates back to the seminal work by Engli...
| Main Authors: | , , , |
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| Format: | Journal article |
| Published: |
Institute of Mathematical Statistics (IMS)
2017
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