TY - JOUR
T1 - Computing lower and upper expectations under epistemic independence
AU - de Campos, Cassio Polpo
AU - Cozman, Fabio Gagliardi
PY - 2007/3/1
Y1 - 2007/3/1
N2 - 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.
AB - 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.
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U2 - 10.1016/j.ijar.2006.07.013
DO - 10.1016/j.ijar.2006.07.013
M3 - Article
SN - 0888-613X
SP - 244
EP - 260
JO - International Journal of Approximate Reasoning
JF - International Journal of Approximate Reasoning
ER -