Bayesian Binning Into Quantiles
Bayesian Binning Into Quantiles is a probabilistic calibration method that partitions predicted probabilities into quantile bins using a Bayesian framework to optimize bin boundaries and improve the reliability of uncertainty estimates.
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1.1K
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22
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10
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2017–2026
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Brq: an R package for Bayesian quantile regression
Rahim Alhamzawi, Haithem Taha Mohammad Ali · METRON · 2020 · 31 citations
Azadeh Dinparastdjadid, John D. Lee, Joshua Domeyer et al. · Human Factors The Journal of the Human Factors and Ergonomics Society · 2019 · 22 citations
Engineering, Automotive Engineering, Systems Engineering +14
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University of Al-Qadisiyah
Ad Dīwānīyah, Iraq
1 h-index
1 publications
31 citations

Norwegian Computing Center
Oslo, Norway
1 h-index
2 publications
50 citations
University of Iowa
Iowa City, United States
1 h-index
2 publications
44 citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
1 h-index
2 publications
32 citations

Norwegian Meteorological Institute
Oslo, Norway
1 h-index
3 publications
75 citations
University of Pittsburgh
Pittsburgh, United States
1 h-index
3 publications
2.8K citations
Centre de Mathématiques Appliquées de l'École polytechnique
Palaiseau, France
1 h-index
2 publications
32 citations
University of Wisconsin–Madison
Madison, United States
1 h-index
3 publications
66 citations
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Conference · 1 publications · 947 citations
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1 publications · 46 citations
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1 publications · 31 citations
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