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