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Mixture Models: Parametric, Semiparametric, and New Directions

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Mixture Models: Parametric, Semiparametric, and New Directions - Yao, Weixin, and Xiang, Sijia
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"Mixture models are a powerful tool for analyzing complex and heterogeneous datasets across many scientific fields, from finance to genomics. Mixture Models: Parametric, Semiparametric, and New Directions provides an up-to-date introduction to these models, their recent developments, and their implementation using R. It fills a gap in the literature by covering not only the basics of finite mixture models, but also recent developments such as semiparametric extensions, robust modeling, label switching, and high-dimensional ...

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Mixture Models: Parametric, Semiparametric, and New Directions 2024, CRC Press

ISBN-13: 9780367481827

Hardcover