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Conceptconformal inference / conformal prediction / 保形预测

Conformal Inference

A distribution-free statistical inference framework that transforms arbitrary scoring functions into valid test statistics (p-values or e-values) via an exchangeability assumption, without requiring parametric assumptions about the data distribution.

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Timeline (last 90 days)

Oct 19

Weighted conformal p-values are used to correct the distribution shift from the behavior policy to the target policy, making conformal inference applicable to counterfactual evaluation.

Unverified50%
Oct 12

SLICE (Sequential Likelihood-Free Inference via Conformal E-Values) combines conformal inference with e-values to construct exact and anytime-valid confidence sequences for parameters of models with intractable likelihoods.

Unverified50%
Oct 12

The validity of conformal inference does not depend on any parametric assumptions about the data distribution, requiring only the exchangeability condition.

Unverified50%
Sep 17

Conformal prediction is a framework originating from statistical learning theory that constructs confidence intervals with finite-sample coverage guarantees for predictions using the residual distribution of historical calibration sets, without requiring strong parametric assumptions.

Verified75%

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