Bayesian Nonparametric Calibration
Bayesian Nonparametric Calibration is a statistical calibration framework that belongs to the class of Bayesian calibration methods and is distinguished by its use of nonparametric prior distributions to flexibly model the calibration function without assuming a fixed parametric form.
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Publications
117
Citations
14
Authors
11
Institutions
Publications per year
2017–2026
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McGill University
Montreal, Canada
1 h-index
2 publications
56 citations
University of Sheffield
Sheffield, United Kingdom
1 h-index
2 publications
22 citations

University of Waterloo
Waterloo, Canada
1 h-index
2 publications
56 citations

University of Nottingham
Nottingham, United Kingdom
1 h-index
1 publications
11 citations
International Society of Nephrology
Brussels, Belgium
1 h-index
1 publications
11 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
2 publications
40 citations
University of Pavia
Pavia, Italy
1 h-index
1 publications
58 citations
Wuhan University of Technology
Wuhan, China
1 h-index
1 publications
28 citations
1–8 of 11
1 publications · 58 citations
1
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1 publications · 11 citations
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1 publications · 28 citations
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1 publications · 20 citations
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1 publications · 14 citations
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