The article discusses how the EM algorithm is used to estimate parameters in a model with missing data. The researchers focused on estimating parameters in a mixed linear model, including the variance-covariance matrix. This matrix doesn't have to be linear. The main goal was to find the best estimates for these parameters using the EM algorithm.