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Mixture Models Parametric, Semiparametric, and New Directions

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   Author: creativelivenew1   |   04 April 2024   |   : 0

Free Download Mixture Models: Parametric, Semiparametric, and New Directions
English | 2024 | ISBN: 0367481820 | 398 Pages | PDF (True) | 10 MB
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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