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    A prediction rule corresponds to a probability assignment... — Carmelics
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    Supports→The prior distribution over statistical hypotheses can be interpreted subjectively

    A prediction rule corresponds to a probability assignment that can be given a subjective and behavioral interpretation

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    Priors relate uniquely to particular predictions, which can be related to belief...

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    Representation theorems equate a prior distribution over statistical hypotheses ...
    The prior distribution over statistical hypotheses can be interpreted subjective...

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    Representation theorems allow probability assignments to be given a su...80%Priors relate uniquely to particular predictions, which can be related...79%Representation theorems equate a prior distribution over statistical h...78%Reliable prediction is sufficient to ground the intention without requ...78%

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    Representation theorems equate a prior distribution over statistical hypotheses to a prediction rule, and thus to a probability assignment that can be given a subjective and behavioral interpretation. This removes the worry expressed above, that the prior distribution over hypotheses cannot be interpreted subjectively because it cannot be related to belief as a willingness to act: priors relate uniquely to particular predictions. However, for De Finetti the representation theorem provided a reas

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