# 13: Statistics and Probability Background

- Page ID
- 22522

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- 13.5: Bayesian Network Theory
- Bayesian network theory can be thought of as a fusion of incidence diagrams and Bayes’ theorem. A Bayesian network, or belief network, shows conditional probability and causality relationships between variables. The probability of an event occurring given that another event has already occurred is called a conditional probability.

- 13.10: Multinomial Distributions
- Typical events generating continuous outcomes may follow a normal, exponential, or geometric distribution. Discrete outcomes can only on take prescribed values; for instance, a dice roll can only generate an integer between 1 to 6. Discrete outcomes are typically distributed either binomially or multinomially. It is with multinomial distribution that this section is concerned.