Missing data and cluster graphs: cluster-level missingness vs variable-level missingness
缺失数据与簇图:簇层面缺失和变量层面缺失
Missing data is pervasive in many scientific domains such as public health, environmental science, and the social sciences. Recoverability from missing data is typically studied using fully specified variable-level missingness models despite that, in many applications, only coarse structural information is available, for instance when variables are grouped into clusters due to limited knowledge or interpretability reasons. In this paper, we investigate recoverability from…