Weyl Prior and Bayesian Statistics

Weyl Prior and Bayesian Statistics

When using Bayesian inference, one needs to choose a prior distribution for parameters. The well-known Jeffreys prior is based on the Riemann metric tensor on a statistical manifold. Takeuchi and Amari defined the <inline-formula> <math display="inline"> <semantics> <m...

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Bibliographic Details
Main Authors: Ruichao Jiang, Javad Tavakoli, Yiqiang Zhao
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Entropy
Subjects:
information geometry
Bayesian statistics
prior distributions
conformal geometry
Online Access:https://www.mdpi.com/1099-4300/22/4/467

Internet

https://www.mdpi.com/1099-4300/22/4/467

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