The algorithm and its extensions are now standard tools applied to incomplete data problems in virtually every field in which statistical methods are used. Until now, however, no single source offered a complete and unified treatment of the subject.The EM Algorithm and Extensions describes the ...
This book presents an organized and well-knit account of the theory, methodology, extensions, and major applications of the Expectation-Maximization (EM) algorithm. It includes applications in the standard statistical contexts such as regression, factor analysis, variance components estimation, repeated-...
The EM Algorithm and Extensions 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 statistics here outlined involves applications in regression, medical imaging, finite mixture analysis,...
The EM Algorithm and Extensions 2025 pdf epub mobi 电子书 图书描述 This book presents an organized and well-knit account of the theory, methodology, extensions, and major applications of the Expectation-Maximization (EM) algorithm. It includes applications in the standard statistical contexts such as...
The EM Algorithm and ExtensionsCiteSeerXcitationsG MACLACHLANT KRISHNANMcLachlan, Geoffrey J; Krishnan, Thriyambakamdoi:10.1080/00401706.1998.10485534KusharyDebashisTaylor & Francis GroupTechnometrics
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The EM Algorithm and Extensions: Second Edition The only single-source--now completely updated and revised--to offer a unified treatment of the theory, methodology, and applications of the EM algorithmComplete with updates that capture developments from the past decade, The EM Algorit... GJ ...
McLachlan GJ, Krishnan T (2008) The EM algorithm and extensions, 2nd edn. Wiley, Hoboken CrossRef Ranola JM, Ahn S, Sehl ME, Smith DJ, Lange K (2010) A Poisson model for random multigraphs. Bioinformatics 26:2004–2011 CrossRef Sabatti C, Lange K (2002) Genomewide motif identificatio...
Therefore, these accelerations do not have some of the attractive features of the EM algorithm, such as stability, flexibility and simplicity. Some extensions of the EM algorithm have been proposed. Meng and Rubin (1993) presented the expectation conditional maximization (ECM) algorithm that improves...