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2019

Conformal calibrators

Vovk, Vladimir, Petej, Ivan, Toccaceli, Paolo et al.

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Most existing examples of full conformal predictive systems, split-conformal predictive systems, and cross-conformal predictive systems impose severe restrictions on the adaptation of predictive distributions to the test object at hand.

In this paper we develop split-conformal and cross-conformal predictive systems that are fully adaptive.
Our method consists in calibrating existing predictive systems; the input predictive system is not supposed to satisfy any properties of validity, whereas the output predictive system is guaranteed to be calibrated in probability.
It is interesting that the method may also work without the IID assumption, standard in conformal prediction.

Conformal calibrators · Around

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Remarks on a multivariate transformation
Murray Rosenblatt · 1952
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Théorie de l’addition des variables aléatoires
Paul Lévy · 1954
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Convergence of Probability Measures
Patrick Billingsley · 1968
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Conditional probability density and regression estimators
Murray Rosenblatt · 1969
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Empirical Processes with Applications to Statistics
Galen R. Shorack and Jon A. Wellner · 1986
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