"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 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 modeling"--
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New. Sewn binding. Cloth over boards. 379 p. Contains: Unspecified, Illustrations, black & white, Line drawings, black & white, Tables, black & white. Chapman & Hall/CRC Monographs on Statistics and Applied Prob.
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New. Sewn binding. Cloth over boards. 379 p. Contains: Unspecified, Illustrations, black & white, Line drawings, black & white, Tables, black & white. Chapman & Hall/CRC Monographs on Statistics and Applied Prob.
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