Original title: Causality and Intervention in Business Process Management
Authors: Bína, V. ; Jiroušek, Radim
Document type: Papers
Conference/Event: Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /20./, Pardubice (CZ), 20170917
Year: 2017
Language: eng
Abstract: The paper presents an algebraic approach to the modeling of causality in systems of stochastic variables. The methodology is based on an operator of a composition that provides the possibility of composing a multidimensional distribution from low-dimensional building blocks taking advantage of the dependence structure of the problem variables. The authors formally define and demonstrate on a hypothetical example a surprisingly elegant unifying approach to conditioning by a single variable and the evaluation of the effect of an intervention. Both operations are realized by the composition with a degenerated distribution and differ only in the sequence in which the operator of the composition is performed.
Keywords: Causality; Compositional model; Conditioning; Intervention; Operator of composition,
Project no.: GA15-00215S (CEP)
Funding provider: GA ČR
Host item entry: Proceedings of the 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, ISBN 978-80-7464-932-5

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0298570

Permalink: http://www.nusl.cz/ntk/nusl-399068


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers
 Record created 2019-08-26, last modified 2019-10-20


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