Table 2.
Conditional probability distributions for the example system shown in Table 1.
| Likelihood of a state of coin 1 given the state of coin 2 | |
|---|---|
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| Likelihood of a state of coin 2 given the state of coin 1 | |
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The conditional probability
describes the likelihood of a state of a given the state of B and can be related to the joint and marginal probability distributions (table 1) via Bayes’ theorem (Eqn. 2).
