Jump to ContentJump to Main Navigation
Evidence, Inference and Enquiry$
Users without a subscription are not able to see the full content.

Philip Dawid, William Twining, and Mimi Vasilaki

Print publication date: 2011

Print ISBN-13: 9780197264843

Published to British Academy Scholarship Online: January 2013

DOI: 10.5871/bacad/9780197264843.001.0001

Show Summary Details

Inference Networks: Bayes and Wigmore

Inference Networks: Bayes and Wigmore

Chapter:
(p.119) 5 Inference Networks: Bayes and Wigmore
Source:
Evidence, Inference and Enquiry
Author(s):

PHILIP DAWID

DAVID SCHUM

AMANDA HEPLER

Publisher:
British Academy
DOI:10.5871/bacad/9780197264843.003.0005

Methods for performing complex probabilistic reasoning tasks, often based on masses of different forms of evidence obtained from a variety of different sources, are being sought by, and developed for, persons in many important contexts including law, medical diagnosis, and intelligence analysis. The complexity of these tasks can often be captured and represented by graphical structures now called inference networks. These networks are directed acyclic graphs (DAGs), consisting of nodes, representing relevant hypotheses, items of evidence, and unobserved variables, and arcs (arrows) joining some of the nodes, representing dependency relations among them. This chapter describes and comments on two different approaches to inference network construction. In the first approach, a DAG network structure is explicitly constructed as a vehicle for probabilistic analyses. Since the associated computations can be regarded as generalising the use of Bayes' rule, such networks are commonly called Bayesian networks. The second approach stems from the work of the American jurist John H. Wigmore who was the very first person to attempt a systematic study of inference networks.

Keywords:   probabilistic reasoning, evidence, inference networks, directed acyclic graphs, Bayesian networks, John H. Wigmore

British Academy Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us.