Hidden Markov model with Pitman-Yor priors for probabilistic topic model

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY
Jianjie Guo, Lin Guo, Wenchao Xu, Haibin Zhang
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引用次数: 0

Abstract

Empirical studies of natural language have demonstrated that word frequencies follow power law distributions. However, standard statistical models often fail to capture this property. The Pitman-Yo...
隐马尔可夫模型与皮特曼-约尔先验用于概率主题模型
对自然语言的实证研究表明,词频遵循幂律分布。然而,标准统计模型往往无法捕捉到这一特性。Pitman-Yo...
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来源期刊
CiteScore
2.00
自引率
12.50%
发文量
320
审稿时长
7.5 months
期刊介绍: The Theory and Methods series intends to publish papers that make theoretical and methodological advances in Probability and Statistics. New applications of statistical and probabilistic methods will also be considered for publication. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.
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