A causal model is a framework used to represent and analyze the causal relationships between variables. The main purpose of a causal model is to identify, estimate, and understand how changes in one or more variables (the causes) influence another variable (the effect). These models are commonly used in fields such as statistics, economics, epidemiology, social sciences, and machine learning. ### Key Components of Causal Models 1.
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