Mixture Models

Language: English

Published by Chapman And Hall/CRC Apr 2024, 2024

0367481820 / 9780367481827

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This item is printed on demand - it takes 3-4 days longer - Neuware -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.FeaturesComprehensive overview of the methods and applications of mixture modelsKey topics include hypothesis testing, model selection, estimation methods, and Bayesian approachesRecent developments, such as semiparametric extensions, robust modeling, label switching, and high-dimensional modelingExamples and case studies from such fields as astronomy, biology, genomics, economics, finance, medicine, engineering, and sociologyIntegrated R code for many of the models, with code and data available in the R Package MixSemiRobMixture Models: Parametric, Semiparametric, and New Directions is a valuable resource for researchers and postgraduate students from statistics, biostatistics, and other fields. It could be used as a textbook for a course on model-based clustering methods, and as a supplementary text for courses on data mining, semiparametric modeling, and high-dimensional data analysis. 398 pp. Englisch. …

Seller Inventory # 9780367481827

Title
Mixture Models
Author
Weixin Yao
Publisher
Chapman And Hall/CRC Apr 2024
Publication year
2024
Condition
Neu
Binding
Buch
Language
English
ISBN 10
0367481820
ISBN 13
9780367481827
Item weight
760 grams
Dimensions
240x161x26 mm

BuchWeltWeit Ludwig Meier e.K.

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