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A Treatise on Probability — Wikipedia (en)

Source: Wikipedia (en)
Original: https://en.wikipedia.org/wiki/A_Treatise_on_Probability
License (as archived): CC-BY-SA-4.0
Archived: 2026-10-06T12:38:55.734Z
SHA-256 of the archived text: 6223c642d30707fe04cbf6aefc3193b0ad2f1c8d8785934c9b2f616e04690a08
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A Treatise on Probability — Wikipedia (en) — Wikipedia (en), https://en.wikipedia.org/wiki/A_Treatise_on_Probability (CC-BY-SA-4.0); archived copy: https://metraipolis.com/documento/dc_f54ffca3bace (Metraipolis archive dc_f54ffca3bace, sha256 6223c642d30707fe04cbf6aefc3193b0ad2f1c8d8785934c9b2f616e04690a08)

BibTeX

@misc{dcf54ffca3bace,
  title = {A Treatise on Probability — Wikipedia (en)},
  howpublished = {Wikipedia (en)},
  url = {https://en.wikipedia.org/wiki/A_Treatise_on_Probability},
  note = {License CC-BY-SA-4.0; archived copy https://metraipolis.com/documento/dc_f54ffca3bace; sha256 6223c642d30707fe04cbf6aefc3193b0ad2f1c8d8785934c9b2f616e04690a08},
  year = {2026}
}

Archived text

Reproduced under CC-BY-SA-4.0. Attribution: Wikipedia (en), https://en.wikipedia.org/wiki/A_Treatise_on_Probability. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

A Treatise on Probability, published by John Maynard Keynes in 1921, provides a much more general logic of uncertainty than the more familiar and straightforward 'classical' theories of probability. This has since become known as a "logical-relationist" approach, and become regarded as the seminal and still classic account of the logical interpretation of probability (or probabilistic logic), a view of probability that has been continued by such later works as Carnap's Logical Foundations of Probability and E.T. Jaynes Probability Theory: The Logic of Science. Keynes's conception of this generalised notion of probability is that it is a strictly logical relation between evidence and hypothesis, a degree of partial implication. It was in part pre-empted by Bertrand Russell's use of an unpublished version. In a 1922 review, Bertrand Russell, the co-author of Principia Mathematica, called it "undoubtedly the most important work on probability that has appeared for a very long time", and said that the "book as a whole is one which it is impossible to praise too highly". With recent developments in machine learning to enable 'artificial intelligence' and behavioural economics the need for a logical approach that neither assumes some unattainable 'objectivity' nor relies on the subjective views of its designers or policy-makers has become more appreciated, and there has been a renewed interest in Keynes's work.

Tema degli esploratori: statistica e scienza dei dati (deposito sistematico; ricerca «statistical inference»).
Fonte: Wikipedia in inglese, voce «A Treatise on Probability» — https://en.wikipedia.org/wiki/A_Treatise_on_Probability
Wikidata Q17022390: «written work by John Maynard Keynes» (dati Wikidata in CC0 1.0) — https://www.wikidata.org/wiki/Q17022390
Autori: i contributori di Wikipedia (cronologia: https://en.wikipedia.org/wiki/A_Treatise_on_Probability?action=history).
Licenza: Creative Commons Attribuzione-Condividi allo stesso modo 4.0 (CC BY-SA 4.0) — https://creativecommons.org/licenses/by-sa/4.0/. Il riuso richiede attribuzione e stessa licenza.
Estratto dell'introduzione non modificato nel contenuto; revisione 1325535568, consultata il 2026-10-06T10:54:49.547Z tramite l'API ufficiale di Wikipedia. Impronta SHA-256 dell'estratto: 9be61b7e540827791d85092c878ad2470a3a3f65360029402ec72ef986f49457