Algebraic discrete causal models
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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Official URL: http://www2.warwick.ac.uk/fac/sci/statistics/crism...
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|
|Number of Pages:||19|
|Status:||Not Peer Reviewed|
|Access rights to Published version:||Open Access|
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