Bayesian causal inference via probabilistic program synthesis

no code implementations • 30 Oct 2019 • Sam Witty, Alexander Lew, David Jensen, Vikash Mansinghka

This approach makes it straightforward to incorporate data from atomic interventions, as well as shift interventions, variance-scaling interventions, and other interventions that modify causal structure.

Causal Inference Probabilistic Programming +1