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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Datum:2020
1. Verfasser: Balabanov, O.S.
Format: Artikel
Sprache:Ukrainian
Veröffentlicht: PROBLEMS IN PROGRAMMING 2020
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Online Zugang:https://pp.isofts.kiev.ua/index.php/ojs1/article/view/432
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Назва журналу:Problems in programming
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Problems in programming