The EM Algorithm and Extensions

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9780471201700: The EM Algorithm and Extensions

The only single-source——now completely updated and revised——to offer a unified treatment of the theory, methodology, and applications of the EM algorithm

Complete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second Edition successfully provides a basic understanding of the EM algorithm by describing its inception, implementation, and applicability in numerous statistical contexts. In conjunction with the fundamentals of the topic, the authors discuss convergence issues and computation of standard errors, and, in addition, unveil many parallels and connections between the EM algorithm and Markov chain Monte Carlo algorithms. Thorough discussions on the complexities and drawbacks that arise from the basic EM algorithm, such as slow convergence and lack of an in-built procedure to compute the covariance matrix of parameter estimates, are also presented.

While the general philosophy of the First Edition has been maintained, this timely new edition has been updated, revised, and expanded to include:

  • New chapters on Monte Carlo versions of the EM algorithm and generalizations of the EM algorithm

  • New results on convergence, including convergence of the EM algorithm in constrained parameter spaces

  • Expanded discussion of standard error computation methods, such as methods for categorical data and methods based on numerical differentiation

  • Coverage of the interval EM, which locates all stationary points in a designated region of the parameter space

  • Exploration of the EM algorithm's relationship with the Gibbs sampler and other Markov chain Monte Carlo methods

  • Plentiful pedagogical elements—chapter introductions, lists of examples, author and subject indices, computer-drawn graphics, and a related Web site

The EM Algorithm and Extensions, Second Edition serves as an excellent text for graduate-level statistics students and is also a comprehensive resource for theoreticians, practitioners, and researchers in the social and physical sciences who would like to extend their knowledge of the EM algorithm.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

From the Publisher:

A unified and complete treatment of the theory and methodology of the Expectation-Maximization (EM) algorithm, its extensions and their applications. Applications in standard statistical contexts such as regression, factor analysis, variance-components estimation, repeated-measures designs, categorical data analysis, survival evaluatio, and survey sampling are covered, as well as applications in other areas like genetics and psychometry. Approximately 30 examples illustrate the theory and methodology.

About the Author:

Geoffrey J. McLachlan, PhD, DSc, is Professor of Statistics in the Department of Mathematics at The University of Queensland, Australia. A Fellow of the American Statistical Association and the Australian Mathematical Society, he has published extensively on his research interests, which include cluster and discriminant analyses, image analysis, machine learning, neural networks, and pattern recognition. Dr. McLachlan is the author or coauthor of Analyzing Microarray Gene Expression Data, Finite Mixture Models, and Discriminant Analysis and Statistical Pattern Recognition, all published by Wiley.

Thriyambakam Krishnan, PhD, is Chief Statistical Architect, SYSTAT Software at Cranes Software International Limited in Bangalore, India. Dr. Krishnan has over forty-five years of research, teaching, consulting, and software development experience at the Indian Statistical Institute (ISI). His research interests include biostatistics, image analysis, pattern recognition, psychometry, and the EM algorithm.

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1.

Geoffrey J. McLachlan, Thriyambakam Krishnan
Editore: John Wiley and Sons Ltd, United Kingdom (2008)
ISBN 10: 0471201707 ISBN 13: 9780471201700
Nuovi Rilegato Quantità: 10
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Descrizione libro John Wiley and Sons Ltd, United Kingdom, 2008. Hardback. Condizione libro: New. 2nd Revised edition. Language: English . Brand New Book. The only single-source--now completely updated and revised--to offer a unified treatment of the theory, methodology, and applications of the EM algorithm Complete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second Edition successfully provides a basic understanding of the EM algorithm by describing its inception, implementation, and applicability in numerous statistical contexts. In conjunction with the fundamentals of the topic, the authors discuss convergence issues and computation of standard errors, and, in addition, unveil many parallels and connections between the EM algorithm and Markov chain Monte Carlo algorithms. Thorough discussions on the complexities and drawbacks that arise from the basic EM algorithm, such as slow convergence and lack of an in-built procedure to compute the covariance matrix of parameter estimates, are also presented. While the general philosophy of the First Edition has been maintained, this timely new edition has been updated, revised, and expanded to include:* New chapters on Monte Carlo versions of the EM algorithm and generalizations of the EM algorithm* New results on convergence, including convergence of the EM algorithm in constrained parameter spaces* Expanded discussion of standard error computation methods, such as methods for categorical data and methods based on numerical differentiation* Coverage of the interval EM, which locates all stationary points in a designated region of the parameter space* Exploration of the EM algorithm s relationship with the Gibbs sampler and other Markov chain Monte Carlo methods* Plentiful pedagogical elements-chapter introductions, lists of examples, author and subject indices, computer-drawn graphics, and a related Web site The EM Algorithm and Extensions, Second Edition serves as an excellent text for graduate-level statistics students and is also a comprehensive resource for theoreticians, practitioners, and researchers in the social and physical sciences who would like to extend their knowledge of the EM algorithm. Codice libro della libreria AAH9780471201700

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ISBN 10: 0471201707 ISBN 13: 9780471201700
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Descrizione libro Wileyand#8211;Blackwell, 2008. HRD. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria FW-9780471201700

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Geoffrey J. McLachlan, Thriyambakam Krishnan
Editore: John Wiley and Sons Ltd, United Kingdom (2008)
ISBN 10: 0471201707 ISBN 13: 9780471201700
Nuovi Rilegato Quantità: 10
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Descrizione libro John Wiley and Sons Ltd, United Kingdom, 2008. Hardback. Condizione libro: New. 2nd Revised edition. Language: English . Brand New Book. The only single-source--now completely updated and revised--to offer a unified treatment of the theory, methodology, and applications of the EM algorithm Complete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second Edition successfully provides a basic understanding of the EM algorithm by describing its inception, implementation, and applicability in numerous statistical contexts. In conjunction with the fundamentals of the topic, the authors discuss convergence issues and computation of standard errors, and, in addition, unveil many parallels and connections between the EM algorithm and Markov chain Monte Carlo algorithms. Thorough discussions on the complexities and drawbacks that arise from the basic EM algorithm, such as slow convergence and lack of an in-built procedure to compute the covariance matrix of parameter estimates, are also presented. While the general philosophy of the First Edition has been maintained, this timely new edition has been updated, revised, and expanded to include:* New chapters on Monte Carlo versions of the EM algorithm and generalizations of the EM algorithm* New results on convergence, including convergence of the EM algorithm in constrained parameter spaces* Expanded discussion of standard error computation methods, such as methods for categorical data and methods based on numerical differentiation* Coverage of the interval EM, which locates all stationary points in a designated region of the parameter space* Exploration of the EM algorithm s relationship with the Gibbs sampler and other Markov chain Monte Carlo methods* Plentiful pedagogical elements-chapter introductions, lists of examples, author and subject indices, computer-drawn graphics, and a related Web site The EM Algorithm and Extensions, Second Edition serves as an excellent text for graduate-level statistics students and is also a comprehensive resource for theoreticians, practitioners, and researchers in the social and physical sciences who would like to extend their knowledge of the EM algorithm. Codice libro della libreria AAH9780471201700

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Descrizione libro Wileyand#8211;Blackwell, 2008. HRD. Condizione libro: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice libro della libreria IP-9780471201700

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ISBN 10: 0471201707 ISBN 13: 9780471201700
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Descrizione libro Wiley-Interscience, 2008. Hardcover. Condizione libro: New. 2. Codice libro della libreria DADAX0471201707

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Descrizione libro Condizione libro: New. Depending on your location, this item may ship from the US or UK. Codice libro della libreria 97804712017000000000

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Geoffrey J. McLachlan, Thriyambakam Krishnan
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Descrizione libro John Wiley and Sons Ltd. Hardback. Condizione libro: new. BRAND NEW, The EM Algorithm and Extensions (2nd Revised edition), Geoffrey J. McLachlan, Thriyambakam Krishnan, The only single-source--now completely updated and revised--to offer a unified treatment of the theory, methodology, and applications of the EM algorithm Complete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second Edition successfully provides a basic understanding of the EM algorithm by describing its inception, implementation, and applicability in numerous statistical contexts. In conjunction with the fundamentals of the topic, the authors discuss convergence issues and computation of standard errors, and, in addition, unveil many parallels and connections between the EM algorithm and Markov chain Monte Carlo algorithms. Thorough discussions on the complexities and drawbacks that arise from the basic EM algorithm, such as slow convergence and lack of an in-built procedure to compute the covariance matrix of parameter estimates, are also presented. While the general philosophy of the First Edition has been maintained, this timely new edition has been updated, revised, and expanded to include:* New chapters on Monte Carlo versions of the EM algorithm and generalizations of the EM algorithm* New results on convergence, including convergence of the EM algorithm in constrained parameter spaces* Expanded discussion of standard error computation methods, such as methods for categorical data and methods based on numerical differentiation* Coverage of the interval EM, which locates all stationary points in a designated region of the parameter space* Exploration of the EM algorithm's relationship with the Gibbs sampler and other Markov chain Monte Carlo methods* Plentiful pedagogical elements-chapter introductions, lists of examples, author and subject indices, computer-drawn graphics, and a related Web site The EM Algorithm and Extensions, Second Edition serves as an excellent text for graduate-level statistics students and is also a comprehensive resource for theoreticians, practitioners, and researchers in the social and physical sciences who would like to extend their knowledge of the EM algorithm. Codice libro della libreria B9780471201700

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Geoffrey McLachlan
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Descrizione libro Wileyand#8211;Blackwell, 2008. HRD. Condizione libro: New. New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000. Codice libro della libreria IP-9780471201700

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McLachlan, Geoffrey, Krishnan, Thriyamba
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Descrizione libro Wiley-Interscience, 2017. Hardcover. Condizione libro: New. This item is printed on demand. Codice libro della libreria P110471201707

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Descrizione libro John Wiley & Sons, 2016. Paperback. Condizione libro: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Codice libro della libreria ria9780471201700_lsuk

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