Semiparametric Fractional Imputation Using Gaussian Mixture Models for Handling Multivariate Missing Data
基于高斯混合模型的多变量缺失数据半参数分数插补
Item nonresponse is frequently encountered in practice. Ignoring missing data can lose efficiency and lead to misleading inference. Fractional imputation is a frequentist approach of imputation for handling missing data. However, the parametric fractional imputation may be subject to bias under model misspecification. In this article, we propose a novel semiparametric fractional imputation (SFI) method using Gaussian mixture models. The proposed method is computationally…