Imputation Uncertainty Quantification
Imputation Uncertainty Quantification is a methodological framework within missing data imputation that characterizes the reliability of imputed values by modeling the variability and confidence associated with the imputation process.
78
Publications
7.5K
Citations
279
Authors
132
Institutions
Publications per year
2017–2026
27
78
1–5 of 78
279
2
h-index
2
h-index
Netherlands Organisation for Applied Scientific Research, Netherlands
2 publications · 146 citations
2
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2
h-index
2
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1–5 of 279
132
University of Michigan
Ann Arbor, United States
3 h-index
8 publications
155 citations

University of Regina
Regina, Canada
2 h-index
6 publications
126 citations
University College London
London, United Kingdom
2 h-index
4 publications
1.8K citations
Duke University
Durham, United States
2 h-index
2 publications
206 citations

University of London
London, United Kingdom
2 h-index
2 publications
2.9K citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
7 publications
187 citations
Harvard University
Cambridge, United States
2 h-index
8 publications
473 citations
University of Washington
Seattle, United States
2 h-index
3 publications
72 citations
1–8 of 132
5 publications · 302 citations
5
h-index
2 publications · 430 citations
2
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2 publications · 2.9K citations
2
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TRR · 2 publications · 42 citations
2
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2 publications · 40 citations
2
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1–5