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.

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Geoffrey J. McLachlan, Thriyambakam Krishnan
Editore: John Wiley and Sons Ltd, United Kingdom (2008)
ISBN 10: 0471201707 ISBN 13: 9780471201700
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Descrizione libro John Wiley and Sons Ltd, United Kingdom, 2008. Hardback. Condizione libro: New. 2nd Revised edition. 236 x 157 mm. 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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Geoffrey McLachlan
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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
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Descrizione libro John Wiley and Sons Ltd, United Kingdom, 2008. Hardback. Condizione libro: New. 2nd Revised edition. 236 x 157 mm. 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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Geoffrey McLachlan
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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 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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Geoffrey McLachlan, Thriyambakam Krishnan
Editore: Wiley-Interscience (2008)
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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Geoffrey J. McLachlan
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Descrizione libro 2008. Hardcover. Condizione libro: New. 2nd. 163mm x 25mm x 236mm. Hardcover. This new edition remains the only single source to offer a complete and unified treatment of the theory, methodology, and applications of the EM algorithm. The highly applied area of stati.Shipping may be from multiple locations in the US or from the UK, depending on stock availability. 359 pages. 0.699. Codice libro della libreria 9780471201700

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McLachlan, Geoffrey J./ Krishnan, Thriyambakam
Editore: Wiley-Blackwell 2008-04-29 (2008)
ISBN 10: 0471201707 ISBN 13: 9780471201700
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Descrizione libro Wiley-Blackwell 2008-04-29, 2008. Condizione libro: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Codice libro della libreria NU-ING-00169317

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McLachlan
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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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McLachlan, Geoffrey; Krishnan, Thriyambakam
Editore: Wiley-Interscience (2008)
ISBN 10: 0471201707 ISBN 13: 9780471201700
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Descrizione libro Wiley-Interscience, 2008. Hardcover. Condizione libro: New. Codice libro della libreria INGM9780471201700

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McLachlan, Geoffrey, Krishnan, Thriyamba
Editore: Wiley-Interscience (2017)
ISBN 10: 0471201707 ISBN 13: 9780471201700
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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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