Computing lower and upper expectations under epistemic independence

Cassio Polpo de Campos; Fabio Gagliardi Cozman

doi:10.1016/j.ijar.2006.07.013

Computing lower and upper expectations under epistemic independence

Cassio Polpo de Campos, Fabio Gagliardi Cozman

School of Electronics, Electrical Engineering and Computer Science

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

257 Downloads (Pure)

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.

Original language	English
Pages (from-to)	244-260
Number of pages	17
Journal	International Journal of Approximate Reasoning
Volume	44
Issue number	3
Early online date	26 Sept 2006
DOIs	https://doi.org/10.1016/j.ijar.2006.07.013
Publication status	Published - Mar 2007

Bibliographical note

Reasoning with Imprecise Probabilities

Keywords

Multilinear programming

Access to Document

10.1016/j.ijar.2006.07.013

Computing lower and upper expectations under epistemic independence
Copyright 2007 Elsevier. This manuscript is distributed under a Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited.
Accepted author manuscript, 204 KBLicence: CC BY-NC-ND

Cite this

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