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Chapman and Hall/CRC Mixture Models: Parametric, Semiparametric, and New Directions

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Description

Mixture Models: Parametric, Semiparametric, and New Directions by Chapman and Hall/CRC offers an up-to-date introduction to modeling complex and heterogeneous datasets. This text serves as a vital resource for scientific fields ranging from finance to genomics where mixture models are used to analyze diverse data structures. This book fills a significant gap in existing literature by moving beyond basic finite mixture models. It provides detailed coverage of recent developments including semiparametric extensions, robust modeling, label switching, and high-dimensional modeling. Readers will gain practical knowledge through implementation guidance using R, making it a useful tool for both theoretical study and applied statistical work.

Key Features

This Chapman and Hall/CRC monograph provides a comprehensive overview of mixture model methods and their practical applications.

The text covers essential topics such as semiparametric extensions, robust modeling, and high-dimensional modeling.

Readers can learn about recent developments in the field including label switching and advanced statistical techniques.

The book includes guidance on the implementation of these models using the R programming language.

This resource is designed for analyzing heterogeneous datasets in various fields like genomics and finance.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 April 2022
Listed Since
12 October 2023

Barcode

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