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Communication Dans Un Congrès Année : 2014

A first inquiry into Simpson's paradox with belief functions

Résumé

Simpson's paradox, also known as the Yule-Simpson effect, is a statistical paradox which plays a major role in causality modelling and decision making. It may appear when marginalizing data: an effect can be positive for all subgroups of a population, but it can be negative when aggregating all the subgroups. This paper explores what happens if data are considered in the framework of belief functions instead of classical probability theory. In particular, the co-occurrence of the paradox with both the probabilistic approach and our belief function approach is studied.
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Dates et versions

hal-03522203 , version 1 (11-01-2022)

Identifiants

  • HAL Id : hal-03522203 , version 1

Citer

François Delmotte, Frédéric Pichon, David Mercier. A first inquiry into Simpson's paradox with belief functions. International Conférence on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2014), Jul 2014, Montpellier, France. pp.190-199. ⟨hal-03522203⟩

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