Conformal e-prediction in the presence of confounding
arXiv:2603.11134v16.7h-index: 4
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This is an incremental extension for statistical prediction methods, with no specific problem or audience mentioned.
The paper extends conformal e-prediction to handle observed confounding between variables, addressing both IID and dependent data cases.
This note extends conformal e-prediction to cover the case where there is observed confounding between the random object $X$ and its label $Y$. We consider both the case where the observed data is IID and a case where some dependence between observations is permitted.