Compositional Data Modeling through Dirichlet Innovations
The Dirichlet distribution is a well-known candidate in modeling compositional data sets. However, in the presence of outliers, the Dirichlet distribution fails to model such data sets, making other model extensions necessary. In this paper, the Kummer–Dirichlet distribution and the gamma distributi...
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| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2021-10-01
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| Saila: | Mathematics |
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| Sarrera elektronikoa: | https://www.mdpi.com/2227-7390/9/19/2477 |
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