Bayesian Graded Response Model
The Bayesian Graded Response Model is a Bayesian extension of the graded response item response theory model that incorporates prior distributions on item and person parameters to estimate latent trait levels and ordered categorical item responses within a hierarchical probabilistic framework.
12
Publications
4K
Citations
33
Authors
24
Institutions
Publications per year
2017–2026
5
12
1–5 of 12
33
2
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2
h-index
University of Massachusetts Chan Medical School, United States
1 publications · 10 citations
1
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1
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1
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1–5 of 33
24
University of Pittsburgh
Pittsburgh, United States
2 h-index
2 publications
69 citations
Universidade Federal de São Carlos
São Carlos, Brazil
1 h-index
1 publications
16 citations

Southern Illinois University Carbondale
Carbondale, United States
1 h-index
2 publications
20 citations
Center for Assessment
Dover, United States
1 h-index
1 publications
89 citations
Institut Polytechnique de Bordeaux
Bordeaux, France
1 h-index
2 publications
36 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
89 citations
Centre de Résonance Magnétique Biologique et Médicale
Marseille, France
1 h-index
1 publications
18 citations

Xi'an Jiaotong University
Xi'an, China
1 h-index
1 publications
33 citations
1–8 of 24
3 publications · 140 citations
3
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1 publications · 10 citations
1
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1 publications · 36 citations
1
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1 publications · 16 citations
1
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1 publications · 161 citations
1
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1–5