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Nonlinear Mixture Models

by Tatarinova Tatiana

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Book Overview  This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subj...

 

This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications. It is self-contained and unified in presentation, which makes it ideal for use as an advanced textbook by graduate students and as a reference for independent researchers. The explanations in the book are detailed enough to capture the interest of the curious reader, and complete enough to provide the necessary background material needed to go further into the subject and explore the research literature.

In this book the authors present Bayesian methods of analysis for nonlinear, hierarchical mixture models, with a finite, but possibly unknown, number of components. These methods are then applied to various problems including population pharmacokinetics and gene expression analysis. In population pharmacokinetics, the nonlinear mixture model, based on previous clinical data, becomes the prior distribution for individual therapy. For gene expression data, one application included in the book is to determine which genes should be associated with the same component of the mixture (also known as a clustering problem). The book also contains examples of computer programs written in BUGS. This is the first book of its kind to cover many of the topics in this field.

Book Details Format: Hardcover | Pages: 269 | Language: English | Publisher: IMPERIAL COLLEGE PR | ISBN: 1848167563
FormatHardcover
Pages269
LanguageEnglish
ISBN1848167563
EAN9781848167568
PublisherIMPERIAL COLLEGE PR
Publication Date1970-01-01
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeHARD COVER BOOKS
Weight1.33 Pounds
Length9.38 Inches
Width6.01 Inches
Height0.73 Inches
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