EM algorithm and variants: an informal tutorial

Published 7 May 2011 in stat.CO | (1105.1476v2)

Abstract: The expectation-maximization (EM) algorithm introduced by Dempster et al in 1977 is a very general method to solve maximum likelihood estimation problems. In this informal report, we review the theory behind EM as well as a number of EM variants, suggesting that beyond the current state of the art is an even much wider territory still to be discovered.

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Authors (1)

Alexis Roche

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