Statistical Inference for Causal Discovery under Selection and Latent Variables via Single-Target Interventions
This work develops a model-free and constraint-query optimal statistical inference framework for causal discovery under latent variables and selection using single-target interventions, and introduces the system-induced subgraph (SIS) to capture the causal relations among system variables while accounting for context v...