AINeutralarXiv – CS AI · 7h ago6/10
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Causal Density Functions
Researchers introduce causal density functions, a mathematical framework that uses Radon-Nikodym derivatives to measure causal effects by comparing interventional and observational distributions. This development enables pointwise scoring of directed influence and provides testable methods for validating causal relationships through reweighting observational data.