Finite mixture models
An up-to-date, comprehensive account of major issues in finite mixture modeling This volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream analysis and other areas s...
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Published: |
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Literature type: | Electronic eBook |
Language: | English |
Series: |
Wiley series in probability and statistics. Applied probability and statistics section
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Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/0471721182 |
Summary: |
An up-to-date, comprehensive account of major issues in finite mixture modeling This volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream analysis and other areas such as unsupervised pattern recognition, speech recognition, and medical imaging, the book describes the formulations of the finite mixture approach, details its methodology, discusses aspects of its implementation, and illustrates its application in many common statistical contexts. |
Carrier Form: | 1 online resource (xxii, 419 pages) : illustrations. |
Bibliography: | Includes bibliographical references (pages 349-393) and indexes. |
ISBN: |
047165406X 9780471654063 0471006262 9780471006268 0471721182 9780471721185 |
Index Number: | QA273 |
CLC: | O211.3 |
Contents: | ML fitting of mixture models -- Multivariate normal mixtures -- Bayesian approach to mixture analysis -- Mixtures with nonnormal components -- Assessing the number of components in mixture models -- Multivariate t mixtures -- Mixtures of factor analyzers -- Fitting mixture models to binned data -- Mixture models for failure-time data -- Mixture analysis of directional data -- Variants of the EM algorithm for large databases -- Hidden Markov models -- Mixture software. |