What is Expectation-Maximization?

Expectation-Maximization: Use the iterative EM algorithm to impute missing observations using the “most likely” values based on the complete observations. Like Nearest Neighbor Imputation, this approach accounts for the correlation structure of the data however is more difficult to implement in standard software packages.