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Causal inference from data. On some inadequacy problems of structures with hidden causes

The reliability of causal inference from data (by independence-based methods) is analyzed. We uncover some mechanisms which may result in model inadequacy due to sample bias and hidden variables. We detect some specific problems in recognition of direction of influence when some causes are hidden. I...

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Bibliographic Details
Date:	2020
Main Author:	Balabanov, O.S.
Format:	Article
Language:	Ukrainian
Published:	PROBLEMS IN PROGRAMMING 2020
Subjects:	causal network edge orientation conditional independence d-separation collider chain UDC 004.855:519.216
Online Access:	https://pp.isofts.kiev.ua/index.php/ojs1/article/view/432
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Journal Title:	Problems in programming
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