Deviance Information Criterion
Deviance Information Criterion is a Bayesian model comparison metric that belongs to the class of information criteria by combining a measure of model fit based on the posterior deviance with a penalty for model complexity measured by the effective number of parameters.
284
Publications
30.9K
Citations
793
Authors
445
Institutions
Publications per year
2017–2026
73
284
1–5 of 284
793
5
h-index
5
h-index
5
h-index
5
h-index
5
h-index
1–5 of 793
445
University of Connecticut
Storrs, United States
10 h-index
15 publications
580 citations

University of Minnesota
Minneapolis, United States
7 h-index
9 publications
4.7K citations
University of Technology Sydney
Sydney, Australia
6 h-index
6 publications
186 citations

Queensland University of Technology
Brisbane, Australia
5 h-index
7 publications
223 citations

University of Bristol
Bristol, United Kingdom
5 h-index
18 publications
1.1K citations
Brazilian Agricultural Research Corporation
Brasília, Brazil
5 h-index
7 publications
216 citations
University of Washington
Seattle, United States
5 h-index
6 publications
432 citations

The University of Sydney
Sydney, Australia
5 h-index
6 publications
94 citations
1–8 of 445
17 publications · 714 citations
14
h-index
9 publications · 416 citations
9
h-index
7 publications · 490 citations
7
h-index
7 publications · 771 citations
7
h-index
5 publications · 3.8K citations
5
h-index
1–5