Pseudolikelihood is a statistical surrogate for the likelihood function defined as the product of conditional probabilities of each variable given its neighbors in a graphical model, used to approximate the full joint likelihood when direct computation is intractable.
177
Publications
15.1K
Citations
350
Authors
218
Institutions
Publications per year
2017–2026
25
Variants
Pseudo-likelihood
Parents
Publications
177
Improved contact prediction in proteins: Using pseudolikelihoods to infer Potts models
Magnus Ekeberg, Cecilia Lövkvist, Yueheng Lan et al. · Physical Review E · 2013 · 736 citations · Full text
1–5 of 177
Authors
350
- GM
9
h-index
- ND
4
h-index
- RJ
4
h-index
- HG
4
h-index
- CS
4
h-index
1–5 of 350
Institutions
218
Johns Hopkins University
Baltimore, United States
6 h-index
13 publications
519 citations
University of Washington
Seattle, United States
6 h-index
10 publications
2.1K citations
University of Wisconsin–Madison
Madison, United States
6 h-index
11 publications
1.4K citations
University of California, Berkeley
Berkeley, United States
5 h-index
8 publications
1.3K citations
Harvard University
Cambridge, United States
5 h-index
6 publications
279 citations
University of Toronto
Toronto, Canada
5 h-index
9 publications
672 citations
University of Massachusetts Amherst
Amherst Center, United States
4 h-index
8 publications
762 citations
Transnational University Limburg
Diepenbeek, Belgium
4 h-index
8 publications
155 citations
1–8 of 218
Venues
- Journal of the American Statistical Association
19 publications · 1.4K citations
15
h-index
- Biometrika
16 publications · 1.5K citations
14
h-index
- The Annals of Statistics
7 publications · 1K citations
7
h-index
- Journal of the Royal Statistical Society Series C (Applied Statistics)
7 publications · 553 citations
7
h-index
- Biometrics
7 publications · 382 citations
7
h-index
1–5