62 citations · 151 across the 15 of their papers we have counts for
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stat.ME2022★ 4 cited
Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data
Yuxuan Zhao, Alex Townsend, Madeleine Udell
Many real-world datasets contain missing entries and mixed data types including categorical and ordered (e.g. continuous and ordinal) variables. Imputing the missing entries is nec…
stat.ME2022★ 2 cited
gcimpute: A Package for Missing Data Imputation
Yuxuan Zhao, Madeleine Udell
This article introduces the Python package gcimpute for missing data imputation. gcimpute can impute missing data with many different variable types, including continuous, binary,…
stat.ME2019
Missing Value Imputation for Mixed Data via Gaussian Copula
Yuxuan Zhao, Madeleine Udell
Missing data imputation forms the first critical step of many data analysis pipelines. The challenge is greatest for mixed data sets, including real, Boolean, and ordinal data, whe…