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Books Year : 2018

Handbook of Mixture Analysis

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Abstract

Mixture analysis is very active research topic in statistics and machine learning. It is a good timing for a Handbook to present a broad overview of the methods and applications, suitable for graduate students and young researchers new to the field. This Handbook is divided into two main parts; the first part covers all the methods, with illustrative examples and guidance on computing where appropriate; and the second part includes some more advanced methodological topics, and a series of case studies presenting applications of mixture analysis in a number of fields, including genomics, medicine, economics, finance and more.
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Dates and versions

hal-01928103 , version 1 (20-11-2018)

Identifiers

  • HAL Id : hal-01928103 , version 1

Cite

Sylvia Frühwirth-Schnatter, Gilles Celeux, Christian P. Robert. Handbook of Mixture Analysis. CRC Press, pp.1-536, 2018, Chapman & Hall/CRC Handbooks of Modern Statistical Methods, 9781498763813. ⟨hal-01928103⟩
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