Probabilistic Decision-Making
Causal inference is the process of drawing conclusions about causal relationships from data. It helps to determine whether a change in one variable (the cause) directly results in a change in another variable (the effect). This concept is crucial in decision-making processes where understanding the cause-and-effect relationship can lead to better outcomes.
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