Bayesian Predictive Inference
Bayesian Predictive Inference is a statistical inference method that, within the Bayesian framework, generates predictions for future or unobserved data by integrating over the posterior distribution of model parameters, thereby accounting for parameter uncertainty in the predictive distribution.
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Publications
33.7K
Citations
1.5K
Authors
742
Institutions
Publications per year
2017–2026
186
Parents
553
R-squared for Bayesian Regression Models
Andrew Gelman, Ben Goodrich, Jonah Gabry et al. · The American Statistician · 2018 · 936 citations · Full text
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University of North Carolina at Chapel Hill, United States
5 publications · 254 citations
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University College London
London, United Kingdom
14 h-index
27 publications
3.6K citations
The University of Tokyo
Tokyo, Japan
11 h-index
23 publications
466 citations
University of Chicago
Chicago, United States
11 h-index
17 publications
2.2K citations

Sapienza University of Rome
Rome, Italy
9 h-index
14 publications
238 citations

Imperial College London
London, United Kingdom
9 h-index
23 publications
835 citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
18 publications
822 citations
University of Cambridge
Cambridge, United Kingdom
7 h-index
11 publications
329 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
7 h-index
30 publications
1.1K citations
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20 publications · 1.6K citations
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16 publications · 454 citations
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Repository · 15 publications · 965 citations
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10 publications · 296 citations
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11 publications · 300 citations
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