Risk assessment and decision analysis with Bayesian networks /
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| Format: | Manuscript |
| Language: | English |
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Boca Raton :
Taylor & Francis,
2012.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- There is more to assessing risk than statistics
- Need for casual, explanatory models in risk assessment
- Measuring uncertainty: the inevitability of subjectivity
- Basics of probability
- Bayes' theorom and conditional probability
- From Nayes' theorem to Bayesian networks
- Defining structure of Bayesian networks
- Building and elicting node probability tables
- Numeric variables and continuous distribution functions
- Hypothesis and confidence intervals
- Modeling operational risk
- Systems reliability modeling
- Bayes and the law
- App. A: Basics of counting
- App. B: Algebra of node probability tests
- App. C: Junction tree Algorithm
- App. D: Dynamic Discretization
- App. E: Statistical distributions.