Bayesian Model Misspecification
Bayesian Model Misspecification is a formal statistical condition in which the assumed parametric model class, though specified a priori within a Bayesian framework, does not contain the true data-generating distribution, thereby leading to asymptotically biased posterior inferences despite correct probabilistic updating.
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2017–2026
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Bayesian model selection for group studies — Revisited
Lionel Rigoux, Klaas Ε. Stephan, Karl Friston et al. · NeuroImage · 2013 · 763 citations
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Utrecht University
Utrecht, The Netherlands
4 h-index
13 publications
753 citations

Monash University
Melbourne, Australia
4 h-index
6 publications
179 citations

University of Amsterdam
Amsterdam, The Netherlands
3 h-index
4 publications
496 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
6 publications
1.1K citations

Indian Institute of Management Ahmedabad
Ahmedabad, India
3 h-index
3 publications
181 citations

Universitat Pompeu Fabra
Barcelona, Spain
3 h-index
4 publications
89 citations
University of Zurich
Zurich, Switzerland
3 h-index
4 publications
822 citations
University College London
London, United Kingdom
3 h-index
5 publications
2.4K citations
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Repository · 6 publications · 115 citations
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CSDA · 5 publications · 91 citations
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5 publications · 237 citations
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4 publications · 110 citations
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2 publications · 67 citations
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