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

• 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
• Journal Title: Problems in programming

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...