Causal Inference with Non-IID Data using Linear Graphical Models

Neural Information Processing Systems 

Furthermore, we develop a method to eliminate bias in cases where blindly assuming IID is expected to yield a significantly biased estimate. Finally, we test the coverage and performance of our methods through simulations.