Algebraic Statistics techniques are used to define a new class of probability models which encode the notion of category distinguishability and refine the existing approaches. We study such models both from a geometric and statistical point of view. In particular, we provide an effective characterisation of the sufficient statistic.

Algebraic modelling of category distinguishability

RAPALLO, Fabio
2009-01-01

Abstract

Algebraic Statistics techniques are used to define a new class of probability models which encode the notion of category distinguishability and refine the existing approaches. We study such models both from a geometric and statistical point of view. In particular, we provide an effective characterisation of the sufficient statistic.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11579/20812
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