Posterior Predictive Checking
Posterior Predictive Checking is a Bayesian model validation technique that assesses the adequacy of a fitted model by comparing observed data to the distribution of replicated data generated from the posterior predictive distribution.
78
Publications
7.2K
Citations
154
Authors
114
Institutions
Publications per year
2017–2026
14
78
1–5 of 78
154
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h-index
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3
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114
Educational Testing Service
Princeton, United States
10 h-index
10 publications
754 citations
Columbia University
New York, United States
8 h-index
8 publications
806 citations
Princeton University
Princeton, United States
5 h-index
7 publications
523 citations

Tilburg University
Tilburg, The Netherlands
4 h-index
6 publications
179 citations
Murdoch Children's Research Institute
Melbourne, Australia
3 h-index
6 publications
603 citations

University of Exeter
Exeter, United Kingdom
3 h-index
6 publications
240 citations
Harvard University
Cambridge, United States
3 h-index
4 publications
166 citations
Utrecht University
Utrecht, The Netherlands
3 h-index
4 publications
142 citations
1–8 of 114
7 publications · 472 citations
7
h-index
4 publications · 205 citations
4
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3 publications · 76 citations
3
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3 publications · 215 citations
3
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3 publications · 93 citations
3
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1–5