Causal Models
Causal models are statistical models that aim to identify causal relationships between variables. They are used to understand the effect of one variable on another, while controlling for other variables that may influence the relationship. Causal models can be used to make predictions and to test hypotheses about the causal relationships between variables. They are widely used in fields such as epidemiology, economics, and social sciences. In data science, causal models are used to build predictive models that can be used to make decisions based on the causal relationships between variables.
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