Algebraic causality : Bayes nets and beyond
Riccomagno, Eva and Smith, J. Q., 1953- (2007) Algebraic causality : Bayes nets and beyond. Working Paper. Coventry: University of Warwick. Centre for Research in Statistical Methodology. Working papers, Vol.2007 (No.13).
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Official URL: http://www2.warwick.ac.uk/fac/sci/statistics/crism...
The relationship between algebraic geometry and the inferential framework
of the Bayesian Networks with hidden variables has now been fruitfully explored
and exploited by a number of authors. More recently the algebraic formulation of Causal
Bayesian Networks has also been investigated in this context. After reviewing these
newer relationships, we proceed to demonstrate that many of the ideas embodied in the
concept of a "causal model" can be more generally expressed directly in terms of a partial
order and a family of polynomial maps. The more conventional graphical constructions,
when available, remain a powerful tool.
|Item Type:||Working or Discussion Paper (Working Paper)|
|Subjects:||Q Science > QA Mathematics|
|Divisions:||Faculty of Science > Statistics|
|Library of Congress Subject Headings (LCSH):||Geometry, Algebraic, Statistics -- Graphic methods|
|Series Name:||Working papers|
|Publisher:||University of Warwick. Centre for Research in Statistical Methodology|
|Place of Publication:||Coventry|
|Number of Pages:||22|
|Status:||Not Peer Reviewed|
|Access rights to Published version:||Restricted or Subscription Access|
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