Riccomagno, Eva, Smith, J. Q. and Thwaites, Peter (2010) Algebraic discrete causal models. Working Paper. Coventry: University of Warwick. Centre for Research in Statistical Methodology. Working papers, Vol.2010 (No.11).

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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
Official Date:	June 2010
Dates:	Date Event June 2010 Published
Date of first compliant deposit:	1 August 2016
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Status:	Not Peer Reviewed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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