Context-specific independence in graphical log-linear models

Henrik Nyman, Johan Pensar, Timo Koski, Jukka Corander

Research output: Contribution to journalArticleScientificpeer-review

Original languageEnglish
JournalComputational Statistics
Volume31
Issue number4
Pages (from-to)1493-1512
Number of pages20
ISSN0943-4062
DOIs
Publication statusPublished - Dec 2016
MoE publication typeA1 Journal article-refereed

Fields of Science

  • Graphical model
  • Context-specific interaction model
  • Log-linear model
  • Parameter estimation
  • CONTINGENCY-TABLES
  • MCMC
  • 111 Mathematics

Cite this

Nyman, Henrik ; Pensar, Johan ; Koski, Timo ; Corander, Jukka. / Context-specific independence in graphical log-linear models. In: Computational Statistics. 2016 ; Vol. 31, No. 4. pp. 1493-1512.
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title = "Context-specific independence in graphical log-linear models",
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author = "Henrik Nyman and Johan Pensar and Timo Koski and Jukka Corander",
year = "2016",
month = "12",
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Context-specific independence in graphical log-linear models. / Nyman, Henrik; Pensar, Johan; Koski, Timo; Corander, Jukka.

In: Computational Statistics, Vol. 31, No. 4, 12.2016, p. 1493-1512.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Context-specific independence in graphical log-linear models

AU - Nyman, Henrik

AU - Pensar, Johan

AU - Koski, Timo

AU - Corander, Jukka

PY - 2016/12

Y1 - 2016/12

KW - Graphical model

KW - Context-specific interaction model

KW - Log-linear model

KW - Parameter estimation

KW - CONTINGENCY-TABLES

KW - MCMC

KW - 111 Mathematics

U2 - 10.1007/s00180-015-0606-6

DO - 10.1007/s00180-015-0606-6

M3 - Article

VL - 31

SP - 1493

EP - 1512

JO - Computational Statistics

JF - Computational Statistics

SN - 0943-4062

IS - 4

ER -