`Plausibilities of plausibilities': an approach through circumstances
<|reference_start|>`Plausibilities of plausibilities': an approach through circumstances: Probability-like parameters appearing in some statistical models, and their prior distributions, are reinterpreted through the notion of `circumstance', a term which stands for any piece of knowledge that is useful in assigning a probability and that satisfies some additional logical properties. The idea, which can be traced to Laplace and Jaynes, is that the usual inferential reasonings about the probability-like parameters of a statistical model can be conceived as reasonings about equivalence classes of `circumstances' - viz., real or hypothetical pieces of knowledge, like e.g. physical hypotheses, that are useful in assigning a probability and satisfy some additional logical properties - that are uniquely indexed by the probability distributions they lead to.<|reference_end|>
@article{mana2006`plausibilities,
    title={`Plausibilities of plausibilities': an approach through circumstances},
    author={P. G. L. Porta Mana, A. M{aa}nsson, G. Bj"ork},
    journal={arXiv preprint arXiv:quant-ph/0607111},
    year={2006},
    archivePrefix={arXiv},
    eprint={quant-ph/0607111},
    primaryClass={quant-ph cs.AI}
}