1. Bayesian Perspectives from JCGM 101
The JCGM 101 course, "
" (formerly GUM-S1), explicitly introduces the use of concepts from Bayesian statistics.
From the very beginning, the probability law describing the output variable and the input variables is viewed as a belief distribution:
...
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Bayesian Perspectives from JCGM 101
Bibliography
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(1) - BIPM, IEC, IFCC, ILAC, ISO, IUPAC, IUPAP, OIML -
Guide to the expression of uncertainty in measurement —Part 6 : Developing and using measurement models.
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Joint Committee for Guides in Metrology, JCGM GUM-6 (2020).
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(2) - LINDLEY...
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