causal graphs and networks
Causal graphs and networks are visual representations used to model and understand causal relationships between different variables or events. They illustrate how changes in one variable can influence the occurrence or behavior of other variables, helping to uncover cause-and-effect relationships in complex systems.
Requires login.
Related Concepts (1)
Similar Concepts
- bayesian networks
- causal chain
- causal chains
- causal graphs
- causal inference and causal relationships
- causal loop diagrams
- causal models
- causal pathways
- causal relationships
- causal relationships in social sciences
- network causality
- self-similar networks and graphs
- social network analysis
- spatial patterns in networks
- stochastic networks