On Johnson’s “Sufficientness” Postulates for Feature-Sampling Models
In the 1920s, the English philosopher W.E. Johnson introduced a characterization of the symmetric Dirichlet prior distribution in terms of its predictive distribution. This is typically referred to as Johnson’s “sufficientness” postulate, and it has been the subject of many contributions in Bayesian...
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Format: | article |
Langue: | EN |
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MDPI AG
2021
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Accès en ligne: | https://doaj.org/article/afd2be041ecf41669e6c2c2c3cdce1ba |
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