Generalized Venn Prediction and Hypergraphical Models

Vladimir Vovk, Alexander Gammerman and Glenn Shafer
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Vladimir Vovk: University of London, Royal Holloway
Alexander Gammerman: University of London, Royal Holloway
Glenn Shafer: Rutgers University

Chapter Chapter 12 in Algorithmic Learning in a Random World, 2022, pp 363-389 from Springer

Abstract: 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.

Keywords: Online compression models; Hypergraphical models; Venn prediction; Conformal prediction (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-06649-8_12

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DOI: 10.1007/978-3-031-06649-8_12

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