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On the classes of causal networks, identifiable by simple independence tests

On the classes of causal networks, identifiable by simple independence tests

We tackle some theoretical problems of constraint-based approach to causal network inference from data (without prior restrictions). Our interest is to recover a model structure from independence tests of zero and first rank only. Class of 1-identifiable causal structures is defined. An idea to reco...

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Bibliographic Details
Main Author: Balabanov, O.S.
Format: Article
Language:Ukrainian
Published: Інститут програмних систем НАН України 2018
Subjects:
causal network
1-identifiable model
unconditional independence
conditional independence of 1st rank
locally minimal separator
collider
cycle
chain
d-separation
poly-tree
edge triangle
UDC 004.855:519.216
Online Access:https://pp.isofts.kiev.ua/index.php/ojs1/article/view/281
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