Graphical models for imprecise probabilities

Fabio Gagliardi Cozman

Research output: Contribution to conferenceConference Paper

85 Scopus citations

Abstract

This paper presents an overview of graphical models that can handle imprecision in probability values. The paper first reviews basic concepts and presents a brief historical account of the field. The main characteristics of the credal network model are then discussed, as this model has received considerable attention in the literature. © 2004 Elsevier Inc. All rights reserved.
Original languageAmerican English
Pages167-184
Number of pages18
DOIs
StatePublished - 1 Jun 2005
Externally publishedYes
EventInternational Journal of Approximate Reasoning -
Duration: 1 Jun 2005 → …

Conference

ConferenceInternational Journal of Approximate Reasoning
Period1/06/05 → …

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