Causal inference

Causal inference is the process of determining the independent, actual effect of a particular phenomenon that is a component of a larger system. The main difference between causal inference and inference of association is that causal inference analyzes the response of an effect variable when a cause of the effect variable is changed. The study of why things occur is called etiology, and can be described using the language of scientific causal notation.

Extends: [Causal inference](https://wikipedia.org.ai/Causal inference), [Graphical models](https://wikipedia.org.ai/Graphical models), [Regression analysis](https://wikipedia.org.ai/Regression analysis), [Inductive reasoning](https://wikipedia.org.ai/Inductive reasoning), Inference