Bayesian Psychometric Models
Bayesian Psychometric Models is a statistical framework that integrates Bayesian inference with psychometric theory to estimate latent psychological constructs by specifying prior distributions on model parameters and updating them with observed behavioral data.
181
Publications
17.1K
Citations
398
Authors
214
Institutions
Publications per year
2017–2026
58
181
Applied Statistics for the Behavioral Sciences
Klaus G. Witz, Dennis E. Hinkle, William Wiersma et al. · Journal of Educational Statistics · 1990 · 3K citations
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214

University of Amsterdam
Amsterdam, The Netherlands
13 h-index
35 publications
1.6K citations
Educational Testing Service
Princeton, United States
10 h-index
19 publications
656 citations

University of Tübingen
Tübingen, Germany
6 h-index
8 publications
1.2K citations
University of California, Davis
Davis, United States
6 h-index
13 publications
370 citations
University of California, Irvine
Irvine, United States
6 h-index
7 publications
652 citations
University of Missouri
Columbia, United States
6 h-index
9 publications
416 citations
KU Leuven
Leuven, Belgium
5 h-index
10 publications
433 citations
Utrecht University
Utrecht, The Netherlands
5 h-index
15 publications
749 citations
1–8 of 214
9 publications · 203 citations
9
h-index
7 publications · 789 citations
7
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7 publications · 530 citations
7
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6 publications · 395 citations
6
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6 publications · 226 citations
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