Preparatory Statistics
Conditional independence is a statistical concept that describes a situation where two events or variables are independent of each other given a third variable. This means that knowing the value of one variable provides no additional information about the other when the third variable is known. It plays a critical role in simplifying complex probability calculations, especially in the context of Bayes' Theorem.
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