A conditional independence test is a statistical method used to determine whether two random variables are independent given the knowledge of a third variable. This test is crucial in establishing relationships between variables in graphical models and is often employed in constraint-based algorithms, where it helps to identify and validate the structure of the underlying causal relationships among a set of variables.
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