Causal Graphs Articles

Page 1 of 1 (3 articles)

4/13/2026 • EN

Are predictive models enough?

Explores whether predictive models alone suffice for causal inference, highlighting limitations and the need for causal theory.

Causal Graphs Causal Inference Observational Data Predictive Modeling Randomized Experiments

Thomas Lumley

7/15/2013 • EN

Graphs and counterfactuals

Explores the equivalence between causal graphs and counterfactual reasoning in statistics, simplifying the connection between two major causal inference frameworks.

Causal Graphs Causal Inference Counterfactuals Potential Outcomes statistics

Thomas Lumley

7/6/2013 • EN

Problems with faithfulness and the causal Markov property (II)

Explores limitations of causal graph assumptions in statistical modeling, discussing when variables like poverty or diet may violate the faithfulness condition.

Causal Graphs Causal Inference Conditional Independence Reductionism Statistical Modeling

Thomas Lumley

Causal Graphs Articles

Are predictive models enough?

Graphs and counterfactuals

Problems with faithfulness and the causal Markov property (II)

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