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Low structure imprecise predictive inference for Bayes' problem

✍ Scribed by F.P.A. Coolen

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
495 KB
Volume
36
Category
Article
ISSN
0167-7152

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✦ Synopsis

This paper presents direct conditional imprecise probabilities for the number of successes in a finite number of future trials, given information about a finite number of past trials. A simple underlying process determining failures or successes is assumed, related to Bayes' postulate, and Hill's A~,) assumption is used. The results are related to the type of predictive inference known as low structure or black-box inference.

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