Computing lower and upper expectations under epistemic independence

Cassio Polpo de Campos, Fabio Gagliardi Cozman

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

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. © 2006 Elsevier Inc. All rights reserved.
Original languageAmerican English
Pages (from-to)244-260
Number of pages17
JournalInternational Journal of Approximate Reasoning
DOIs
StatePublished - 1 Mar 2007
Externally publishedYes

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