Bayesian

Advantages

• Intuitive, graphical, and efficient
• Accounts for sources of uncertainty
• Allows for information updating
• Models multiple interdependencies
• Models distributed & interacting systems
• Identifies critical components & cut sets
• Includes utility and decision nodes

Disadvantages

• Not ideally suited for computing small probabilities
• Practical limitations on the type of distributions and the form of statistical dependence
• Computationally demanding for systems with a large number of random variables
• Exponential growth of computational effort with increased number of states