AI, Data Science, Predictions, Machine Learning, Causal Inference.
treatment effect estimation. Extending this so that full Structural Causal Models with arbitrary Directed Acyclic Graphs (DAGs) can be learnt is significantly more complex. causaLens has spent a significant amount of time implementing a model-agnostic Full Graph DoubleML training framework to train