Abstract
Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science-multiple imputation-fills gaps in the data with plausible values, the uncertainty of which is coded in the data itself. It also solves other problems, many of which a
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1Topics & keywords
Keywords
- Imputation (statistics)
- Missing data
- Computer science
- Machine learning
UN Sustainable Development Goals
- Climate action
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