Robust Bayesian Calibration
Robust Bayesian Calibration is a Bayesian calibration framework that extends standard Bayesian calibration by formally incorporating uncertainty in prior specifications and model assumptions to ensure posterior inferences and predictive performance remain stable and reliable under perturbations or misspecifications in the input data or model structure.
8
Publications
449
Citations
32
Authors
19
Institutions
Publications per year
2017–2026
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32
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University of Victoria
Victoria, Canada
1 h-index
2 publications
42 citations
IIE MSA
Johannesburg, South Africa
1 h-index
2 publications
198 citations

Australian Museum
Sydney, Australia
1 h-index
1 publications
99 citations
University of Perugia
Perugia, Italy
1 h-index
1 publications
15 citations
UK Centre for Ecology & Hydrology
Wallingford, United Kingdom
1 h-index
1 publications
13 citations
King's College London
London, United Kingdom
1 h-index
3 publications
78 citations
Norwegian Institute of Bioeconomy Research
Oslo, Norway
1 h-index
2 publications
26 citations
Oxford Archaeology
Oxford, United Kingdom
1 h-index
1 publications
99 citations
1–8 of 19
1 publications · 33 citations
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TCCN · 1 publications · 26 citations
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1 publications · 21 citations
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1 publications · 13 citations
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Repository · 1 publications · 226 citations
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