Sensitivity Analysis In Bayesian Models
Sensitivity Analysis in Bayesian Models is a methodological framework within Bayesian statistics that systematically evaluates the robustness of posterior inferences to variations in prior specifications, likelihood assumptions, or model structure.
169
Publications
11.4K
Citations
369
Authors
233
Institutions
Publications per year
2017–2026
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University of British Columbia
Vancouver, Canada
11 h-index
20 publications
1K citations
University of Sheffield
Sheffield, United Kingdom
9 h-index
26 publications
3K citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
13 publications
528 citations
Utrecht University
Utrecht, The Netherlands
6 h-index
6 publications
441 citations
University of California, Los Angeles
Los Angeles, United States
6 h-index
8 publications
250 citations

The University of Melbourne
Melbourne, Australia
4 h-index
5 publications
265 citations
Fera Science (United Kingdom)
York, United Kingdom
4 h-index
8 publications
328 citations
Simon Fraser University
Burnaby, Canada
4 h-index
6 publications
148 citations
1–8 of 233
12 publications · 613 citations
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MSSP · 7 publications · 262 citations
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5 publications · 336 citations
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4 publications · 652 citations
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Repository · 4 publications · 204 citations
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