`Plausibilities of plausibilities': an approach through circumstances
| dc.creator | Mana, P. G. L. Porta | |
| dc.creator | Månsson, A. | |
| dc.creator | Björk, G. | |
| dc.date | 2006-07-17 | |
| dc.date | 2007-04-29 | |
| dc.date.accessioned | 2026-07-07T07:58:30Z | |
| dc.date.available | 2026-07-07T07:58:30Z | |
| dc.description | 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. | |
| dc.description | 30 pages, 3 figures. V2: clarified some points and corrected some typos. V3: corrected typos and added references | |
| dc.identifier | https://arxiv.org/abs/quant-ph/0607111 | |
| dc.identifier | http://arxiv.org/abs/quant-ph/0607111 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/128031 | |
| dc.subject | Quantum Physics | |
| dc.subject | Artificial Intelligence | |
| dc.title | `Plausibilities of plausibilities': an approach through circumstances | |
| dc.type | text |