The Resource The EM algorithm and extensions, Geoffrey J. McLachlan, Thriyambakam Krishnan
The EM algorithm and extensions, Geoffrey J. McLachlan, Thriyambakam Krishnan
Resource Information
The item The EM algorithm and extensions, Geoffrey J. McLachlan, Thriyambakam Krishnan represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item The EM algorithm and extensions, Geoffrey J. McLachlan, Thriyambakam Krishnan represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 Summary
 "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 inbuilt procedure to compute the covariance matrix of parameter estimates, are also presented." "The EM Algorithm and Extensions, Second Edition serves as an excellent text for graduatelevel 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."BOOK JACKET
 Language
 eng
 Edition
 2nd ed.
 Extent
 xxvii, 359 pages
 Contents

 Examples of the EM algorithm
 Basic theory of the EM algorithm
 Standard errors and speeding up convergence
 Extensions of the EM algorithm
 Monte Carlo versions of the EM algorithm
 Some generalizations of the EM algorithm
 Further applications of the EM algorithm
 Isbn
 9780471201700
 Label
 The EM algorithm and extensions
 Title
 The EM algorithm and extensions
 Statement of responsibility
 Geoffrey J. McLachlan, Thriyambakam Krishnan
 Language
 eng
 Summary
 "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 inbuilt procedure to compute the covariance matrix of parameter estimates, are also presented." "The EM Algorithm and Extensions, Second Edition serves as an excellent text for graduatelevel 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."BOOK JACKET
 Cataloging source
 DLC
 http://library.link/vocab/creatorDate
 1946
 http://library.link/vocab/creatorName
 McLachlan, Geoffrey J.
 Dewey number
 519.5/44
 Illustrations
 illustrations
 Index
 index present
 LC call number
 QA276.8
 LC item number
 .M394 2008
 Literary form
 non fiction
 Nature of contents
 bibliography
 http://library.link/vocab/relatedWorkOrContributorDate
 1938
 http://library.link/vocab/relatedWorkOrContributorName
 Krishnan, T.
 Series statement
 Wiley series in probability and statistics
 http://library.link/vocab/subjectName

 Expectationmaximization algorithms
 Estimation theory
 Missing observations (Statistics)
 Expectationmaximization algorithms
 Estimation theory
 Missing observations (Statistics)
 Label
 The EM algorithm and extensions, Geoffrey J. McLachlan, Thriyambakam Krishnan
 Bibliography note
 Includes bibliographical references (pages 311337) and indexes
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Examples of the EM algorithm  Basic theory of the EM algorithm  Standard errors and speeding up convergence  Extensions of the EM algorithm  Monte Carlo versions of the EM algorithm  Some generalizations of the EM algorithm  Further applications of the EM algorithm
 Control code
 137325058
 Dimensions
 25 cm
 Edition
 2nd ed.
 Extent
 xxvii, 359 pages
 Isbn
 9780471201700
 Isbn Type
 (cloth)
 Lccn
 2007017908
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations
 System control number
 (OCoLC)137325058
 Label
 The EM algorithm and extensions, Geoffrey J. McLachlan, Thriyambakam Krishnan
 Bibliography note
 Includes bibliographical references (pages 311337) and indexes
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Examples of the EM algorithm  Basic theory of the EM algorithm  Standard errors and speeding up convergence  Extensions of the EM algorithm  Monte Carlo versions of the EM algorithm  Some generalizations of the EM algorithm  Further applications of the EM algorithm
 Control code
 137325058
 Dimensions
 25 cm
 Edition
 2nd ed.
 Extent
 xxvii, 359 pages
 Isbn
 9780471201700
 Isbn Type
 (cloth)
 Lccn
 2007017908
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations
 System control number
 (OCoLC)137325058
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/TheEMalgorithmandextensionsGeoffreyJ./r_GbW6gpjts/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/TheEMalgorithmandextensionsGeoffreyJ./r_GbW6gpjts/">The EM algorithm and extensions, Geoffrey J. McLachlan, Thriyambakam Krishnan</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>