Computing lower and upper expectations under epistemic independence


Autoria(s): de Campos, Cassio Polpo; Cozman, Fabio Gagliardi
Data(s)

01/03/2007

Resumo

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.

Formato

application/pdf

Identificador

http://pure.qub.ac.uk/portal/en/publications/computing-lower-and-upper-expectations-under-epistemic-independence(8da67bb7-bfcb-42f0-968e-7789c51b511c).html

http://dx.doi.org/10.1016/j.ijar.2006.07.013

http://pure.qub.ac.uk/ws/files/29752576/decampos2007a.pdf

Idioma(s)

eng

Direitos

info:eu-repo/semantics/openAccess

Fonte

de Campos , C P & Cozman , F G 2007 , ' Computing lower and upper expectations under epistemic independence ' International Journal of Approximate Reasoning , vol 44 , no. 3 , pp. 244-260 . DOI: 10.1016/j.ijar.2006.07.013

Palavras-Chave #Multilinear programming
Tipo

article