- Abstract:
-
We review recent developments in applying Bayesian probabilistic and statistical ideas to expert systems. Using a real, moderately complex, medical example we illustrate how qualitative and quantitative knowledge can be represented within a directed graphical model, generally known as a belief network in this context. Exact probabilistic inference on individual cases is possible using a general propagation procedure. When data on a series of cases are available, Bayesian statistical technique...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Publisher copy:
- 10.1214/ss/1177010888
-
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- Publisher:
- Institute of Mathematical Statistics Publisher's website
- Journal:
- Statistical Science Journal website
- Volume:
- 8
- Issue:
- 3
- Pages:
- 219-247
- Publication date:
- 1993-08-05
- DOI:
- ISSN:
-
0883 4237
- URN:
-
uuid:4e655c9a-0c2d-43b6-b1cc-397e24c04d12
- Local pid:
- ora:1952
- Copyright holder:
- Institute of Mathematical Statistics
- Copyright date:
- 1993
- Notes:
- The full-text of this article is not available in ORA. Citation: Spiegelhalter, D. J. et al. (1993). 'Bayesian analysis in expert systems', Statistical Science, 8(3), 219-247. [Available at http://www.imstat.org/sts/].
Journal article
Bayesian analysis in expert systems
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