Bayesian Structural Equation Models
Bayesian Structural Equation Models is a statistical modeling framework within the class of structural equation models that incorporates Bayesian inference to estimate latent variables and their relationships, distinguishing itself by the explicit use of prior distributions and posterior updating for parameter estimation under uncertainty.
304
Publications
19.1K
Citations
819
Authors
465
Institutions
Publications per year
2017–2026
140
Variants
Bsem
304
Applications of structural equation modeling (SEM) in ecological studies: an updated review
Yi Fan, Jiquan Chen, Gabriela Shirkey et al. · Ecological Processes · 2016 · 1.4K citations · Full text
Structural equation modeling: a Bayesian approach
Choice Reviews Online · 2007 · 451 citations
1–5 of 304
819
20
h-index
11
h-index
9
h-index
8
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6
h-index
1–5 of 819
465
Chinese University of Hong Kong
Hong Kong, Hong Kong
22 h-index
66 publications
2.6K citations
Utrecht University
Utrecht, The Netherlands
15 h-index
36 publications
3.9K citations
University of Wisconsin–Madison
Madison, United States
12 h-index
21 publications
956 citations

Sun Yat-sen University
Guangzhou, China
9 h-index
13 publications
306 citations
Muthén & Muthén (United States)
Los Angeles, United States
8 h-index
15 publications
5K citations
University of Missouri
Columbia, United States
7 h-index
11 publications
561 citations
Duke University
Durham, United States
5 h-index
11 publications
1.1K citations

University of Edinburgh
Edinburgh, United Kingdom
5 h-index
8 publications
255 citations
1–8 of 465
SEM · 48 publications · 3.1K citations
26
h-index
11 publications · 576 citations
11
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MBR · 11 publications · 932 citations
11
h-index
9 publications · 2.1K citations
9
h-index
8 publications · 616 citations
8
h-index
1–5