Bayesian Rasch Model
The Bayesian Rasch Model is a probabilistic item response model within the class of Item Response Theory models that incorporates Bayesian inference to estimate person abilities and item difficulties by specifying prior distributions over parameters, thereby distinguishing it through its use of Bayesian hierarchical modeling for parameter estimation and uncertainty quantification.
14
Publications
505
Citations
30
Authors
17
Institutions
Publications per year
2017–2026
4
14
1–5 of 14
30
University of Massachusetts Amherst, United States
2 publications · 141 citations
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 30
17

Wingate Institute
Netanya, Israel
2 h-index
5 publications
257 citations
KU Leuven
Leuven, Belgium
2 h-index
3 publications
149 citations
University of Maryland, College Park
College Park, United States
1 h-index
3 publications
33 citations

University of Twente
Enschede, The Netherlands
1 h-index
2 publications
36 citations

Croydon College
London, United Kingdom
1 h-index
1 publications
17 citations
Lifespan
Providence, United States
1 h-index
1 publications
39 citations
University of California, Berkeley
Berkeley, United States
1 h-index
1 publications
17 citations
ETH Zurich
Zurich, Switzerland
1 h-index
2 publications
26 citations
1–8 of 17
3 publications · 119 citations
3
h-index
2 publications · 141 citations
2
h-index
1 publications · 39 citations
1
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1 publications · 79 citations
1
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1 publications · 47 citations
1
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1–5