Physics – Data Analysis – Statistics and Probability
Scientific paper
1997-06-18
Physics
Data Analysis, Statistics and Probability
8 pages, RevTeX, 1 figure submitted to Phys. Rev. Let
Scientific paper
Bayesian inference --- although becoming popular in physics and chemistry --- is hampered up to now by the vagueness of its notion of prior probability. Some of its supporters argue that this vagueness is the unavoidable consequence of the subjectivity of judgements --- even scientific ones. We argue that priors can be defined uniquely if the statistical model at hand possesses a symmetry and if the ensuing confidence intervals are subjected to a frequentist criterion. Moreover, it is shown via an example taken from recent experimental nuclear physics, that this procedure can be extended to models with broken symmetry.
Al-Hujaj Omar-Alexander
Harney Hanns L.
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