Editing Probability interpretations (section)

==Prediction==
{{Main|Predictive inference}}
An alternative account of probability emphasizes the role of ''prediction'' – predicting future observations on the basis of past observations, not on unobservable parameters. In its modern form, it is mainly in the Bayesian vein. This was the main function of probability before the 20th century,<ref name="geisser">{{cite book|last=Geisser|first=Seymour|author-link=Seymour Geisser|title=Predictive Inference|url=https://books.google.com/books?id=wfdlBZ_iwZoC|year=1993|publisher=CRC Press|isbn=978-0-412-03471-8}}</ref> but fell out of favor compared to the parametric approach, which modeled phenomena as a physical system that was observed with error, such as in [[celestial mechanics]].

The modern predictive approach was pioneered by [[Bruno de Finetti]], with the central idea of [[exchangeability]] – that future observations should behave like past observations.<ref name="geisser" /> This view came to the attention of the Anglophone world with the 1974 translation of de Finetti's book,<ref name="geisser" /> and has
since been propounded by such statisticians as [[Seymour Geisser]].