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Generalized Venn Prediction and Hypergraphical Models

In: Algorithmic Learning in a Random World

Author

Listed:
  • Vladimir Vovk

    (University of London, Royal Holloway)

  • Alexander Gammerman

    (University of London, Royal Holloway)

  • Glenn Shafer

    (Rutgers University)

Abstract

This chapter has two foci, generalized Venn prediction and hypergraphical models. Generalized Venn prediction extends Venn prediction to general one-off structures and online compression models. An interesting example of one-off structures and online compression models is provided by hypergraphical models. We show that hypergraphical models are a versatile tool and develop both Venn and conformal predictors for them.

Suggested Citation

  • Vladimir Vovk & Alexander Gammerman & Glenn Shafer, 2022. "Generalized Venn Prediction and Hypergraphical Models," Springer Books, in: Algorithmic Learning in a Random World, edition 2, chapter 0, pages 363-389, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-06649-8_12
    DOI: 10.1007/978-3-031-06649-8_12
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