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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書誌詳細

主要な著者:	Seitebaleng Makgai, Andriette Bekker, Mohammad Arashi
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-10-01
シリーズ:	Mathematics
主題:	beta function compositional data Dirichlet distribution gamma distribution Kummer–Dirichlet outliers
オンライン･アクセス:	https://www.mdpi.com/2227-7390/9/19/2477
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