no code implementations • 27 Mar 2013 • Stanley M. Schwartz, Jonathan Baron, John R. Clarke
The causal Bayesian approach is based on the assumption that effects (e. g., symptoms) that are not conditionally independent with respect to some causal agent (e. g., a disease) are conditionally independent with respect to some intermediate state caused by the agent, (e. g., a pathological condition).
