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Refining a Bayesian network using a chain event graph
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Barclay, Lorna M., Hutton, Jane and Smith, J. Q. (2013) Refining a Bayesian network using a chain event graph. International Journal of Approximate Reasoning, Volume 54 (Number 9). pp. 1300-1309. doi:10.1016/j.ijar.2013.05.006 ISSN 0888-613X.
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WRAP_Barclay_1-s2.0-S0888613X13001187-main.pdf - Published Version Available under License Creative Commons Attribution. Download (993Kb) | Preview |
Official URL: http://dx.doi.org/10.1016/j.ijar.2013.05.006
Abstract
The search for a useful explanatory model based on a Bayesian Network (BN) now has a long and successful history. However, when the dependence structure between the variables of the problem is asymmetric then this cannot be captured by the BN. The Chain Event Graph (CEG) provides a richer class of models which incorporates these types of dependence structures as well as retaining the property that conclusions can be easily read back to the client. We demonstrate on a real health study how the CEG leads us to promising higher scoring models and further enables us to make more refined conclusions than can be made from the BN. Further we show how these graphs can express causal hypotheses about possible interventions that could be enforced.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics | ||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Mathematics | ||||
| Library of Congress Subject Headings (LCSH): | Mathematical statistics, Mathematical statistics -- Data processing, Bayesian statistical decision theory, Algorithms | ||||
| Journal or Publication Title: | International Journal of Approximate Reasoning | ||||
| Publisher: | Elsevier | ||||
| ISSN: | 0888-613X | ||||
| Official Date: | 27 May 2013 | ||||
| Dates: |
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| Volume: | Volume 54 | ||||
| Number: | Number 9 | ||||
| Page Range: | pp. 1300-1309 | ||||
| DOI: | 10.1016/j.ijar.2013.05.006 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||
| Date of first compliant deposit: | 25 December 2015 | ||||
| Date of first compliant Open Access: | 25 December 2015 | ||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||
| Grant number: | EP/P50578X/1 |
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