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Algebraic discrete causal models

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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:
DateEvent
June 2010Published
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Status: Not Peer Reviewed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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