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DAG Foundations & Basics
Browse 3 free mental model guides in DAG Foundations & Basics.
Guides in this category
d-Separation
A graphical criterion for reading conditional independence from causal diagrams, revealing which variables influence each other and how information flows through a network.
Read guideDAG Terminology
The core vocabulary for directed acyclic graphs: nodes, edges, paths, ancestors, descendants, and topological order—the building blocks for modeling cause, dependency, and sequence.
Read guideCausal Markov Condition
A fundamental rule stating that knowing an event's direct causes makes its more distant causes irrelevant for prediction.
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