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Bayesian Nets and CausalityPhilosophical and Computational Foundations$
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Jon Williamson

Print publication date: 2004

Print ISBN-13: 9780198530794

Published to Oxford Scholarship Online: September 2007

DOI: 10.1093/acprof:oso/9780198530794.001.0001

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BAYESIAN NETS

BAYESIAN NETS

Chapter:
(p.14) 3 BAYESIAN NETS
Source:
Bayesian Nets and Causality
Author(s):

Jon Williamson (Contributor Webpage)

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198530794.003.0003

This chapter introduces Bayesian networks and probabilistic independence, and shows how Bayesian nets are used to represent probability functions. Inference in Bayesian nets is discussed and the problem of constructing Bayesian nets is introduced. One of the simplest methods for constructing Bayesian nets — sequentially adding arrows — is explored in some detail in order to highlight some of the key features of the construction problem.

Keywords:   Bayesian network, probabilistic independence, inference, construction, learning Bayesian nets

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