AINeutralarXiv – CS AI · Mar 33/105
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Robust Weighted Triangulation of Causal Effects Under Model Uncertainty
Researchers developed a new framework for causal effect triangulation that combines multiple statistical models to improve causal inference from observational data. The method addresses model uncertainty by using data-driven measures of model validity without requiring commitment to a single specification.