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Bayesian models for sparse probability tables
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UNSPECIFIED (1996) Bayesian models for sparse probability tables. ANNALS OF STATISTICS, 24 (5). pp. 2178-2198. ISSN 0090-5364.
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Abstract
We wish to make inferences about the conditional probabilities p(y/x), many of which are zero, when the distribution of X is unknown and one observes only a multinomial sample of the Y variates. To do this, fixed likelihood ratio models and quasi-incremental distributions are defined. It is shown that quasi-incremental distributions are intimately linked to decomposable graphs and that these graphs can guide us to transformations of X and Y which admit a conjugate Bayesian analysis on a reparametrization of the conditional probabilities of interest.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics | ||||
Journal or Publication Title: | ANNALS OF STATISTICS | ||||
Publisher: | INST MATHEMATICAL STATISTICS | ||||
ISSN: | 0090-5364 | ||||
Official Date: | October 1996 | ||||
Dates: |
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Volume: | 24 | ||||
Number: | 5 | ||||
Number of Pages: | 21 | ||||
Page Range: | pp. 2178-2198 | ||||
Publication Status: | Published |
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