Bayesian Multiscale Multiple Imputation With Implications for Data Confidentiality
贝叶斯多尺度多重插补及其数据保密含义
Many scientific, sociological, and economic applications present data that are collected on multiple scales of resolution. One particular form of multiscale data arises when data are aggregated across different scales both longitudinally and by economic sector. Frequently, such datasets experience missing observations in a manner that they can be accurately imputed, while respecting the constraints imposed by the multiscale nature of the data, using the method we propose…