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In page Statistical inference:

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Initially, predictive inference was based on observable parameters and it was the main purpose of studying probability,[citation needed] but it fell out of favor in the 20th century due to a new parametric approach pioneered by Bruno de Finetti. The approach modeled phenomena as a physical system observed with error (e.g., celestial mechanics). De Finetti's idea of exchangeability—that future observations should behave like past observations—came to the attention of the English-speaking world with the 1974 translation from French of his 1937 paper,[1] and has since been propounded by such statisticians as Seymour Geisser.[2]