Integrating Correlated Bayesian Networks Using Maximum Entropy
Journal Article
·
· Applied Mathematical Sciences
OSTI ID:1037535
We consider the problem of generating a joint distribution for a pair of Bayesian networks that preserves the multivariate marginal distribution of each network and satisfies prescribed correlation between pairs of nodes taken from both networks. We derive the maximum entropy distribution for any pair of multivariate random vectors and prescribed correlations and demonstrate numerical results for an example integration of Bayesian networks.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1037535
- Report Number(s):
- PNNL-SA-75301; TRN: US201207%%341
- Journal Information:
- Applied Mathematical Sciences, Vol. 5, Issue 48
- Country of Publication:
- United States
- Language:
- English
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