A valid theory on probabilistic causation

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dc.contributor.author Vidal-Sanz, Jose M.
dc.contributor.editor Universidad Carlos III de Madrid. Departamento de Economía de la Empresa
dc.date.accessioned 2008-04-28T11:21:39Z
dc.date.available 2008-04-28T11:21:39Z
dc.date.issued 2008-04
dc.identifier.uri http://hdl.handle.net/10016/2502
dc.description.abstract In this paper several definitions of probabilistic causation are considered, and their main drawbacks discussed. Current notions of probabilistic causality have symmetry limitations (e.g. correlation and statistical dependence are symmetric notions). To avoid the symmetry problem, non-reciprocal causality is often defined in terms of dynamic asymmetry. But these notions are likely to consider spurious regularities. In this paper we present a definition of causality that does non have symmetry inconsistences. It is a natural extension of propositional causality in formal logics, and it can be easily analyzed with statistical inference. The modeling problems are also discussed using empirical processes.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.language.iso eng
dc.relation.ispartofseries UC3M Working papers. Business Economics
dc.relation.ispartofseries 08-02
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Causality
dc.subject.other Empirical Processes and Classification Theory
dc.subject.other 62M30
dc.subject.other 62M15
dc.subject.other 62G20
dc.title A valid theory on probabilistic causation
dc.type workingPaper
dc.subject.eciencia Empresa
dc.rights.accessRights openAccess
dc.identifier.repec wb081702
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