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Marginalizing combines the probability slices corresponding to different states of the parent node by summing them up. In contrast, conditioning fixes the parent node to one specific state and examines the distribution only within that single slice.

Conditions: The model includes a parent node with multiple possible states.; We are calculating the distribution of a child node.

Marginalizing combines the probability slices corresponding to different states of the parent node by summing them up. In contrast, conditioning fixes the parent node to one specific state and examines the distribution only within that single slice.

Conditions: The model includes a parent node with multiple possible states.; We are calculating the distribution of a child node.