Bayesian Emulation
Bayesian Emulation is a statistical modeling technique that belongs to the class of surrogate models, distinguished by its use of Bayesian inference to construct a probabilistic approximation of a complex simulation model, enabling efficient uncertainty quantification and analysis.
52
Publications
3K
Citations
180
Authors
81
Institutions
Publications per year
2017–2026
24
Variants
Bayesian Emulators
Parents
52
Kirsten Hastrup · Anthropological Theory · 2004 · 201 citations
John Geweke · Journal of the American Statistical Association · 2004 · 167 citations
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81

Durham University
Durham, United Kingdom
7 h-index
30 publications
1.9K citations
University College London
London, United Kingdom
4 h-index
7 publications
402 citations

Newcastle University
Newcastle upon Tyne, United Kingdom
4 h-index
17 publications
631 citations
University of Sheffield
Sheffield, United Kingdom
4 h-index
6 publications
790 citations
Duke University
Durham, United States
3 h-index
5 publications
221 citations

Lawrence Livermore National Laboratory
Livermore, United States
2 h-index
4 publications
170 citations
Northwestern University
Evanston, United States
2 h-index
3 publications
63 citations
University College Dublin
Dublin, Ireland
2 h-index
4 publications
230 citations
1–8 of 81
4 publications · 354 citations
4
h-index
3 publications · 124 citations
3
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JUQ · 3 publications · 101 citations
3
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Repository · 2 publications · 67 citations
2
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2 publications · 37 citations
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