causal graphs

Causal graphs, also known as causal networks or directed acyclic graphs (DAGs), represent causal relationships between variables or factors. They depict the cause-effect relationships among different events, factors, or variables in a system, showing how changes in one variable can cause changes in another. Causal graphs use directed arrows to indicate the direction of causality, with arrows pointing from causes to their effects. They provide a visual tool for understanding, analyzing, and predicting causal dependencies in various fields such as statistics, artificial intelligence, and decision-making.

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