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Handbook of Mixture Analysis

Gebonden Engels 2019 1e druk 9781498763813
Verwachte levertijd ongeveer 11 werkdagen

Samenvatting

Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and much more. Mixture analysis is a very active research topic in statistics and machine learning, with new developments in methodology and applications taking place all the time.

The Handbook of Mixture Analysis is a very timely publication, presenting a broad overview of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, genomics, and astronomy.

Features:

Provides a comprehensive overview of the methods and applications of mixture modelling and analysis

Divided into three parts: Foundations and Methods; Mixture Modelling and Extensions; and Selected Applications

Contains many worked examples using real data, together with computational implementation, to illustrate the methods described

Includes contributions from the leading researchers in the field

The Handbook of Mixture Analysis is targeted at graduate students and young researchers new to the field. It will also be an important reference for anyone working in this field, whether they are developing new methodology, or applying the models to real scientific problems.

Specificaties

ISBN13:9781498763813
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:522
Uitgever:CRC Press
Druk:1

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