Graphical models for imprecise probabilities

Authors:
Fabio Gagliardi Cozman
Affiliations:
Decision Making Lab, Escola Politécnica, Universidade de São Paulo, Cidade Universitaria, Av. Prof. Mello Moraes 2231, São Paulo, SP 05508-900, Brazil
Venue:
International Journal of Approximate Reasoning
Year:
2005

Citing 49
Cited 24

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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.