论文信息 - Partial Imputation Method in the EM Algorithm

Partial Imputation Method in the EM Algorithm

The expectation maximization(EM) algorithm is a general iterative algorithm for the maximum-likelihood estimation(MLE) in incomplete-data problems. Dempster, Laird and Rubin(1977, henceforth DLR) showed that convergence is linear with rate proportional to the ratio of the missing information to the complete information. When a large proportion of data are missing, the speed of convergence can be very slow.

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