Mutual Independence

Mutual Independence

Uncertain variables, U1, ..., Un, are said to be mutually independent if knowing the outcome of any subset, S, of those variables provides no information about the outcome of any subset of the complement of S. The joint probability distribution of a set of mutually independent uncertain variables is equal to the product of their marginal probability distributions. In practice, most assertions of independence result from an underlying understanding of the behavior of the variables being represented.

See also: background state of information, conditional independence, dependence, expert, pairwise independence and pedigree.

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