alexa Maximum Likelihood from Incomplete Data via the EM Algorithm
Biomedical Sciences

Biomedical Sciences

International Journal of Biomedical Data Mining

Author(s): A P Dempster, N M Laird, D B Rubin

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A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value situations, applications to grouped, censored or truncated data, finite mixture models, variance component estimation, hyperparameter estimation, iteratively reweighted least squares and factor analysis.

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This article was published in Journal of the Royal Statistical Society and referenced in International Journal of Biomedical Data Mining

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