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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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Official URL: http://www2.warwick.ac.uk/fac/sci/statistics/crism...
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) | ||||
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Subjects: | Q Science > QA Mathematics | ||||
Divisions: | Faculty of Science, Engineering and Medicine > 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: |
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Volume: | Vol.2010 | ||||
Number: | No.11 | ||||
Number of Pages: | 19 | ||||
Status: | Not Peer Reviewed | ||||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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