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Abstract
Residual allocation models (RAMs) arise in many subjects including Bayesian statistics, combinatorics, ecology, finance, information theory, machine learning, and population genetics. In this paper, we give a brief review of RAM and presents a few examples where the model arises. An extended discussion will focus a concrete model, the GEM distribution, and its ordered analogue, the Poisson-Dirichlet distribution. The paper concludes with a discussion of the GEM process.
Keywords
GEM distribution
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Poisson-Dirichlet distribution
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stick-breaking
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GEM process
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Shui FENG.
A note on residual allocation models.
Front. Math. China, 2021, 16(2): 381-394 DOI:10.1007/s11464-020-0871-8
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