Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters.
Carlos Fernández-LoríaFoster J. ProvostPublished in: CoRR (2021)
Keyphrases
- decision making
- causal networks
- estimation accuracy
- decision support
- causal relationships
- causal models
- causal discovery
- causal reasoning
- situation awareness
- accurate estimation
- estimation algorithm
- supply chain
- real time
- robust estimation
- information processing
- reinforcement learning
- estimation process
- bayesian networks
- case study
- data mining