Prior Predictive Checks
Prior Predictive Checks is a Bayesian model checking technique that evaluates the reasonableness of a model's prior distributions by generating data from the prior predictive distribution and assessing whether the simulated data resemble the observed data in key aspects.
24
Publications
1.8K
Citations
51
Authors
33
Institutions
Publications per year
2017–2026
10
Parents
24
A guide to Bayesian model checking for ecologists
Paul B. Conn, Devin S. Johnson, Perry J. Williams et al. · Ecological Monographs · 2018 · 261 citations
Computing, Biostatistics, Ecology +17
Model Selection Methods for Mixture Dichotomous IRT Models
Feiming Li, Allan S. Cohen, Seock‐Ho Kim et al. · Applied Psychological Measurement · 2009 · 165 citations
1–5 of 24
51
NOAA National Marine Fisheries Service Alaska Fisheries Science Center, United States
2 publications · 271 citations
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NOAA National Marine Fisheries Service Alaska Fisheries Science Center, United States
2 publications · 271 citations
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2
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2
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2
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1–5 of 51
33
Duke University
Durham, United States
3 h-index
4 publications
565 citations
Colorado State University
Fort Collins, United States
2 h-index
4 publications
542 citations
Columbia University
New York, United States
2 h-index
2 publications
98 citations
United States Geological Survey
Reston, United States
2 h-index
2 publications
271 citations
The Ohio State University
Columbus, United States
2 h-index
2 publications
154 citations

Cornell University
Ithaca, United States
2 h-index
1 publications
22 citations
NOAA National Marine Fisheries Service Alaska Fisheries Science Center
Seattle, United States
2 h-index
6 publications
813 citations
Iowa State University
Ames, United States
2 h-index
2 publications
154 citations
1–8 of 33
2 publications · 154 citations
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1 publications · 48 citations
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Repository · 1 publications · 76 citations
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1 publications · 165 citations
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1 publications · 32 citations
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