Bayesian Interpretation of Frequentist Procedures for a Bernoulli Process
The American StatisticianPublished 1 February 1996
Jean‐Marc Bernard
Citations24
SJR quartileQ1
SJR score0.78
SNIP1.50
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Abstract
Abstract In considering the inference about the unknown proportion of a Bernoulli process, it is shown that the choices involved in the frequentist approach are equivalent, from a Bayesian point of view, to the choice of a particular ignorance prior within a restricted ignorance zone. This link sheds light on the nature of both kinds of choices, and on undesirable properties that go with null variance data.
Keywords
Decision Sciences
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