Umeå University's logo
umu.se
Publications
Please wait ...
Simple search
Advanced search -
Research publications
Advanced search -
Student theses
Statistics
English
Svenska
Norsk
Jump to content
Change search
Search
Search
Only documents with full text in DiVA
Cite
Export
BibTex
CSL-JSON
CSV 1
CSV 2
CSV 3
CSV 4
CSV 5
CSV all metadata
CSV all metadata version 2
RIS
Mods
MARC-XML
ETDMS
Link to record
Permanent link
https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-141453
Direct link
http://umu.diva-portal.org/smash/record.jsf?pid=diva2:1154820
Cite
Citation style
apa
ieee
vancouver
Other style
apa
ieee
vancouver
Other style
More styles
Language
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
More languages
Output format
html
text
asciidoc
rtf
html
text
asciidoc
rtf
Create
Close
Data-driven Confounder Selection via Markov and Bayesian Networks
Häggström, Jenny
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.
(Umeå SIMSAM Lab, Stat4Reg)
2018 (English)
In:
Biometrics, ISSN 0006-341X, E-ISSN 1541-0420, Vol. 74, no 2, p. 389-398
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Wiley-Blackwell, 2018. Vol. 74, no 2, p. 389-398
National Category
Probability Theory and Statistics
Identifiers
URN:
urn:nbn:se:umu:diva-141453
DOI:
10.1111/biom.12788
ISI:
000436403600001
Scopus ID:
2-s2.0-85032811284
OAI: oai:DiVA.org:umu-141453
DiVA, id:
diva2:1154820
Funder
Swedish Research Council, 2013–672
Available from:
2017-11-06
Created:
2017-11-06
Last updated:
2023-03-24
Bibliographically approved
Open Access in DiVA
No full text in DiVA
Other links
Publisher's full text
Scopus
Authority records
Häggström, Jenny
Search in DiVA
By author/editor
Häggström, Jenny
By organisation
Statistics
In the same journal
Biometrics
On the subject
Probability Theory and Statistics
Search outside of DiVA
Google
Google Scholar
doi
urn-nbn
Altmetric score
doi
urn-nbn
Total: 661 hits
Cite
Export
BibTex
CSL-JSON
CSV 1
CSV 2
CSV 3
CSV 4
CSV 5
CSV all metadata
CSV all metadata version 2
RIS
Mods
MARC-XML
ETDMS
Link to record
Permanent link
https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-141453
Direct link
http://umu.diva-portal.org/smash/record.jsf?pid=diva2:1154820
Cite
Citation style
apa
ieee
vancouver
Other style
apa
ieee
vancouver
Other style
More styles
Language
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
More languages
Output format
html
text
asciidoc
rtf
html
text
asciidoc
rtf
Create
Close
v. 2.46.0
|
WCAG
|
Umeå University Library
|
Register in DiVA
|
Support
|
Search DiVA Portal
DiVA
Logotyp