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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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| Publicado no: | Entropy (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7823987/ https://ncbi.nlm.nih.gov/pubmed/33396778 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23010045 |
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