ABSTRACT
In this section, we present the partial imputation EM (PIEM) algorithm which imputes missing data as little as possible. The ordinary EM algorithm needs to impute all missing data for the corresponding sufficient statistics. At the E step, the PIEM algorithm only imputes a part of missing data. Thus the PIEM algorithm not only reduces calculation for unnecessary imputation, but also promotes the convergence.
