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从模型到含义：用 R 与 Python 解读统计模型
Vincent Arel-Bundock. Boca Raton, FL: Chapman & Hall/CRC Press, 2025, ix + 252 pp., $84.99(P), ISBN: 978-1-032-90872-4.Interpreting statistical models and communicating their implications clearly r...
用于微聚类任务的随机划分模型
Traditional Bayesian random partition models assume that the size of each cluster grows linearly with the number of data points. While this is appealing for some applications, this assumption is not appropriate for other tasks such as entity resolution (ER), modeling of sparse networks, and DNA sequencing tasks. Such applications require models that yield clusters whose sizes grow sublinearly with the total number of data points—the microclustering property. Motivated by…