Cybernetics and Systems Analysis

, Volume 52, Issue 1, pp 8–19 | Cite as

Induced Dependence, Factor Interaction, and Discriminating Between Causal Structures



Properties of a collider, i.e., a model in which two independent variables (causes or factors) exert influence on a third variable (effect) are analyzed. It is shown that, as a result of conditioning on the effect, its causes usually become mutually dependent. Induced (provoked) dependence is studied quantitatively, a close relationship between induced dependence and factor interaction is revealed, and a new index of interaction of two factors is proposed. The efficiency of applying induced dependence to the identification of orientations of links and revealing of masked links (edges) of the model is shown.


conditional independence induced (provoked) dependence collider factor interaction masked edge identification of links orientation of links 


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© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Institute of Software SystemsNational Academy of Sciences of UkraineKyivUkraine

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