Journal article
GRAPHICAL METHODS FOR INEQUALITY CONSTRAINTS IN MARGINALIZED DAGS
- Abstract:
-
We present a graphical approach to deriving inequality constraints for directed acyclic graph (DAG) models, where some variables are unobserved. In particular we show that the observed distribution of a discrete model is always restricted if any two observed variables are neither adjacent in the graph, nor share a latent parent; this generalizes the well known instrumental inequality. The method also provides inequalities on interventional distributions, which can be used to bound causal effe...
Expand abstract
- Publication status:
- Published
Actions
Access Document
- Publisher copy:
- 10.1109/MLSP.2012.6349796
Why is the content I wish to access not available via ORA?
Bibliographic data (the information relating to research outputs) and full-text items (e.g. articles, theses, reports, etc.) arrive in ORA from several different sources. Unfortunately we are not able to make available the full-text for every research output.
Please contact the ORA team (
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
Content may be unavailable for the following four reasons
-
Version unsuitable
-
We have not obtained a suitable full-text for a given research output. See this page for more information.
-
Recently completed
-
Sometimes content is held in ORA but is unavailable for a fixed period of time to comply with the policies and wishes of rights holders.
-
Permissions
-
All content made available in ORA should comply with relevant rights, such as copyright. See this page for more information.
-
Clearance
-
Some thesis volumes scanned as part of the digitisation scheme funded by Dr Leonard Polonsky are currently unavailable due to sensitive material or uncleared third-party copyright content. We are attempting to contact authors whose theses are affected.
Alternative access to the full-text
You may be able to access the full-text directly from the publisher's website using the 'Publisher Copy' link in the 'Links & Downloads' box from a research output's ORA record page. This method may require an institutional or individual subscription to the journal/resource.
Authors
Bibliographic Details
- Journal:
- 2012 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)
- Publication date:
- 2012-01-01
- DOI:
- EISSN:
-
2161-0371
- ISSN:
-
2161-0363
- Source identifiers:
-
425332
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:425332
- UUID:
-
uuid:03e04980-63d5-4d3e-af8d-3764747f7af5
- Local pid:
- pubs:425332
- Deposit date:
- 2013-11-16
Terms of use
- Copyright date:
- 2012
If you are the owner of this record, you can report an update to it here: Report update to this record