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