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Algebraic discrete causal models
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Riccomagno, Eva, Smith, J. Q., 1953 and Thwaites, Peter (2010) Algebraic discrete causal models. Working Paper. Coventry: University of Warwick. Centre for Research in Statistical Methodology. (Working papers).

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Abstract
The main feature of the paper is to show that Algebraic Statistics is a natural framework to address issues of causality and to help discern a total cause. Indeed identifiability of an effect of a cause in discrete models is almost algebraic rather than graphical in nature. It is useful to think of it as such and it leads to the definition of a large class of discrete models which comprises popular ones.
Item Type:  Working or Discussion Paper (Working Paper) 

Subjects:  Q Science > QA Mathematics 
Divisions:  Faculty of Science > Statistics 
Library of Congress Subject Headings (LCSH):  Causation  Statistical methods, Causation  Mathematical models, Mathematical statistics 
Series Name:  Working papers 
Publisher:  University of Warwick. Centre for Research in Statistical Methodology 
Place of Publication:  Coventry 
Date:  June 2010 
Volume:  Vol.2010 
Number:  No.11 
Number of Pages:  19 
Status:  Not Peer Reviewed 
Access rights to Published version:  Open Access 
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URI:  http://wrap.warwick.ac.uk/id/eprint/35075 
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