The term p(a|b) represents the conditional probability of event A occurring given that event B has already occurred. This concept is crucial in understanding how the occurrence of one event can influence the likelihood of another event, and it plays a significant role in various applications, including decision-making processes and statistical inference. By establishing a relationship between A and B, p(a|b) allows us to calculate probabilities that take into account prior knowledge or evidence.
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