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Discrete Bayesian Inference as a Structure of Paths

Bayesian inference is predominantly formulated in a continuous framework, in which posterior beliefs are represented by smooth probability densities. However, an alternative discrete representation—already implicit in Bayes’s original construction—remains conceptually distinct and structurally infor...

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Auteur principal: Valerian V. Popkov
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2026-05-01
Collection:Entropy
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Accès en ligne:https://www.mdpi.com/1099-4300/28/5/553
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