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Chain graph models and their causal interpretations

Abstract:

Chain graphs are a natural generalization of directed acyclic graphs and undirected graphs. However, the apparent simplicity of chain graphs belies the subtlety of the conditional independence hypotheses that they represent. There are many simple and apparently plausible, but ultimately fallacious, interpretations of chain graphs that are often invoked, implicitly or explicitly. These interpretations also lead to flawed methods for applying background knowledge to model selection. We present ...

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Publication status:
Published

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Publisher copy:
10.1111/1467-9868.00340

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
Journal:
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY More from this journal
Volume:
64
Issue:
3
Pages:
321-348
Publication date:
2002-01-01
DOI:
EISSN:
1467-9868
ISSN:
1369-7412
Language:
English
Keywords:
Pubs id:
pubs:97559
UUID:
uuid:abde1433-89ed-42df-ab4b-3fad39231cc1
Local pid:
pubs:97559
Source identifiers:
97559
Deposit date:
2012-12-19

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