- 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:
- 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
Actions
Authors
Bibliographic Details
Item Description
Terms of use
Metrics
Altmetrics
Dimensions
If you are the owner of this record, you can report an update to it here: Report update to this record