The Bayesian Inference of Pareto Models Based on Information Geometry

The Bayesian Inference of Pareto Models Based on Information Geometry

Bayesian methods have been rapidly developed due to the important role of explicable causality in practical problems. We develope geometric approaches to Bayesian inference of Pareto models, and give an application to the analysis of sea clutter. For Pareto two-parameter model, we show the non-exist...

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Bibliographic Details
Main Authors: Fupeng Sun, Yueqi Cao, Shiqiang Zhang, Huafei Sun
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Entropy
Subjects:
Bayesian inference
Pareto two-parameter model
Jeffreys prior
mean geodesic estimation
Al-Bayyati’s loss function
Online Access:https://www.mdpi.com/1099-4300/23/1/45

Internet

https://www.mdpi.com/1099-4300/23/1/45

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