Computing lower and upper expectations under epistemic independence

Cassio Polpo de Campos, Fabio Gagliardi Cozman

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Samenvatting

This paper investigates the computation of lower/upper expectations that must cohere with a collection of probabilistic assessments and a collection of judgements of epistemic independence. New algorithms, based on multilinear programming, are presented, both for independence among events and among random variables. Separation properties of graphical models are also investigated.

Originele taal-2Engels
Pagina's (van-tot)244-260
Aantal pagina's17
TijdschriftInternational Journal of Approximate Reasoning
Volume44
Nummer van het tijdschrift3
DOI's
StatusGepubliceerd - 1 mrt. 2007
Extern gepubliceerdJa

Bibliografische nota

Reasoning with Imprecise Probabilities

Financiering

We thank Peter Walley for sharing with us the algorithm in Fig. A.1. This work has received generous support from HP Brazil R&D. The work has also been supported by CNPq (through grant 3000183/98-4) and FAPESP (through grant 04/09568-0).

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