Causal Structural Hypothesis Testing and Data Generation Models
CSHTEST and CSVHTEST use non-parametric structural causal knowledge and deep neural networks to perform hypothesis testing on causal models, validated on simulated DAGs, a synthetic pendulum dataset, and real-world medical trauma data.