Bayesian Model Criticism
Bayesian Model Criticism is a methodological framework within Bayesian statistics that evaluates the adequacy and assumptions of a Bayesian model by assessing the consistency between the model's posterior predictions and the observed data, often through posterior predictive checks, residual analysis, or sensitivity diagnostics.
39
Publications
11K
Citations
70
Authors
42
Institutions
Publications per year
2017–2026
2
Parents
39
Bayes and Empirical Bayes Methods for Data Analysis
Technometrics · 2001 · 2.1K citations
The BUGS project: Evolution, critique and future directions
David J. Lunn, David J. Spiegelhalter, Andrew C. Thomas et al. · Statistics in Medicine · 2009 · 1.9K citations
1–5 of 39
70
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National Institute of Standards and Technology, United States
2 publications · 472 citations
2
h-index
2
h-index
1–5 of 70
42

University of Bristol
Bristol, United Kingdom
4 h-index
6 publications
4.6K citations

Imperial College London
London, United Kingdom
4 h-index
9 publications
2.4K citations
MRC Biostatistics Unit
Cambridge, United Kingdom
3 h-index
7 publications
4K citations

University of Warwick
Coventry, United Kingdom
3 h-index
5 publications
1.3K citations

University of Oslo
Oslo, Norway
3 h-index
7 publications
156 citations
University of Maryland, Baltimore County
Baltimore, United States
2 h-index
2 publications
472 citations
National Institute of Standards and Technology
Gaithersburg, United States
2 h-index
2 publications
472 citations

Universidade Federal do Rio de Janeiro
Rio de Janeiro, Brazil
2 h-index
2 publications
606 citations
1–8 of 42
6 publications · 168 citations
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3 publications · 67 citations
3
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Repository · 3 publications · 249 citations
3
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3 publications · 732 citations
3
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3 publications · 2.6K citations
3
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1–5