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stat.ME2025
Masking criteria for selecting an imputation model
Yanjiao Yang, Daniel Suen, Yen-Chi Chen
The masking-one-out (MOO) procedure, masking an observed entry and comparing it versus its imputed values, is a very common procedure for comparing imputation models. We study the…
stat.ME2025
Markov Missing Graph: A Graphical Approach for Missing Data Imputation
Yanjiao Yang, Yen-Chi Chen
We introduce the Markov missing graph (MMG), a novel framework that imputes missing data based on undirected graphs. MMG leverages conditional independence relationships to locally…