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The causal manipulation of chain event graphs
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Riccomagno, Eva and Smith, J. Q. (2007) The causal manipulation of chain event graphs. Working Paper. Coventry: University of Warwick. Centre for Research in Statistical Methodology. Working papers, Vol.2007 (No.14).
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Official URL: http://www2.warwick.ac.uk/fac/sci/statistics/crism...
Abstract
Discrete Bayesian Networks (BN’s) have been very successful as
a framework both for inference and for expressing certain causal hypotheses.
In this paper we present a class of graphical models called
the chain event graph (CEG) models, that generalises the class of
discrete BN models. It provides a flexible and expressive framework
for representing and analysing the implications of causal hypotheses,
expressed in terms of the effects of a manipulation of the generating
underlying system.We prove that, as for a BN, identifiability analyses
of causal effects can be performed through examining the topology
of the CEG graph, leading to theorems analogous to the back-door
theorem for the BN.
Item Type: | Working or Discussion Paper (Working Paper) | ||||
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Subjects: | Q Science > QA Mathematics | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||
Library of Congress Subject Headings (LCSH): | Graphical modeling (Statistics), Bayesian statistical decision theory | ||||
Series Name: | Working papers | ||||
Publisher: | University of Warwick. Centre for Research in Statistical Methodology | ||||
Place of Publication: | Coventry | ||||
Official Date: | 2007 | ||||
Dates: |
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Volume: | Vol.2007 | ||||
Number: | No.14 | ||||
Number of Pages: | 49 | ||||
Status: | Not Peer Reviewed | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Date of first compliant deposit: | 1 August 2016 | ||||
Date of first compliant Open Access: | 1 August 2016 |
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