Information integration using belief functions.
Conference
·
OSTI ID:976104
- Alyson G.
This paper examines the use of belief functions (also known as Dempster-Shafer methods) in statistical reliability problems. Starting from the standard Bayesian model for estimating the survival probability in a binomial model, the problem is changed slightly to introduce indirect information. A Bayesian and a Dempster-Shafer approach are proposed for the new problem. The basic properties of the Dempster-Shafer method are discussed, along with connections to the theory of random sets.
- Research Organization:
- Los Alamos National Laboratory
- Sponsoring Organization:
- DOE
- OSTI ID:
- 976104
- Report Number(s):
- LA-UR-02-1255
- Country of Publication:
- United States
- Language:
- English
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