From predictive methods to missing data imputation: An optimization approach

Missing data is a common problem in real-world settings and for this reason has attracted significant attention in the statistical literature. We propose a flexible framework based on formal optimization to impute missing data with mixed continuous and categorical variables. This framework can readi...

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Bibliographic Details
Main Authors: Bertsimas, Dimitris J (Author), Pawlowski, Colin (Author), Zhuo, Ying Daisy (Author)
Other Authors: Sloan School of Management (Contributor)
Format: Article
Language:English
Published: 2021-03-09T19:07:22Z.
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