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RESEARCH OVERVIEW · Causal Inference · 2026

BiCE-7: Bayesian Interventional Causal Estimator

Would an outcome change if we changed a condition? This work examines how to distinguish observation from intervention.

Observations
Bayesian causal graph
Intervention estimates
A conceptual overview of the research topic.

Research abstract

We introduce BiCE-7, integrating counterfactual reasoning with Bayesian causal graphs. It achieves precision@5=1.0 for intervention effect estimation with 41% variance reduction versus SOTA.

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