structural causal models
Structural causal models are a framework for understanding how different variables in a system interact and influence each other, providing a cause-and-effect relationship between variables. They represent these relationships through a graph-like structure, highlighting the direct and indirect effects between variables, and help to identify the specific mechanisms and factors that drive the relationships.
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Similar Concepts
- bayesian inference in causal models
- causal chains
- causal explanations
- causal graphs
- causal inferences
- causal mechanisms
- causal models
- causal pathways
- causal relationships
- causal structure
- connectionist models
- deterministic causal pathways
- probabilistic causal pathways
- statistical models
- the nature of causality