Corpus ID: 62841783

Conformal calibrators

@article{Vovk2019ConformalC,
  title={Conformal calibrators},
  author={V. Vovk and Ivan Petej and Paolo Toccaceli and A. Gammerman},
  journal={ArXiv},
  year={2019},
  volume={abs/1902.06579}
}
  • V. Vovk, Ivan Petej, +1 author A. Gammerman
  • Published 2019
  • Mathematics, Computer Science
  • ArXiv
  • 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… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 19 REFERENCES
    Convergence of probability measures
    • 3,527
    • PDF
    Empirical Processes with Applications to Statistics
    • 2,390
    • PDF
    Cross-conformal predictive distributions
    • 9
    • PDF
    Nonparametric predictive distributions based on conformal prediction
    • 21
    • PDF
    Algorithmic Learning in a Random World
    • 497
    • PDF
    Conformal predictive distributions with kernels
    • 6
    • PDF
    Prediction with confidence—A general framework for predictive inference
    • 24
    Universally consistent predictive distributions
    • V. Vovk
    • Computer Science, Mathematics
    • 2017
    • 3
    • PDF
    Cross-conformal predictive distributions, On-line Compression Modelling project (New Series), http://alrw.net
    • 2018