Inductive randomness predictors

This paper introduces inductive randomness predictors, which form a superset of inductive conformal predictors. Its focus is on a very simple special case, binary inductive randomness predictors. It is interesting that binary inductive randomness predictors have an advantage over inductive conformal predictors, although they also have a serious disadvantage. This advantage will allow us to reach the surprising conclusion that non-trivial inductive conformal predictors are inadmissible in the sense of statistical decision theory.

@article{vovk2025_2503.02803,
  title={ Inductive randomness predictors: beyond conformal },
  author={ Vladimir Vovk },
  journal={arXiv preprint arXiv:2503.02803},
  year={ 2025 }
}