Graphical Log-linear Models
Graphical Log-Linear Models is a class of probabilistic models for categorical data that belongs to the family of log-linear models and is distinguished by its incorporation of conditional independence structures represented via undirected graphs, where nodes correspond to variables and edges encode direct associations.
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2017–2026
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Variants
Log-linear Graphical Models
Parents
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Ove Frank, David Strauss · Journal of the American Statistical Association · 1986 · 878 citations
Clarice R. Weinberg, Allen J. Wilcox, Rolv T. Lie · The American Journal of Human Genetics · 1998 · 396 citations · Full text
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University of Copenhagen
Copenhagen, Denmark
5 h-index
6 publications
340 citations
Inserm
Paris, France
3 h-index
7 publications
223 citations
University of Washington
Seattle, United States
3 h-index
3 publications
143 citations
University of California, Berkeley
Berkeley, United States
3 h-index
5 publications
759 citations
University of Chicago
Chicago, United States
3 h-index
3 publications
198 citations
University of California, Riverside
Riverside, United States
2 h-index
2 publications
976 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
47 citations
University of Illinois System
Urbana, United States
2 h-index
2 publications
1.3K citations
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5 publications · 395 citations
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