Gaussian Process Imputation
Gaussian Process Imputation is a probabilistic imputation method that models the underlying data distribution as a Gaussian process, leveraging covariance structures to infer missing values based on observed data.
11
Publications
742
Citations
33
Authors
19
Institutions
Publications per year
2017–2026
8
Variants
Gp Imputation
Parents
11
Fast and accurate imputation of summary statistics enhances evidence of functional enrichment
Bogdan Paşaniuc, Noah Zaitlen, Huwenbo Shi et al. · Bioinformatics · 2014 · 231 citations · Full text
Yuan Luo, Peter Szolovits, Anand S. Dighe et al. · Journal of the American Medical Informatics Association · 2017 · 107 citations · Full text
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19
Harvard University
Cambridge, United States
3 h-index
14 publications
2.6K citations

Pennsylvania State University
State College, United States
2 h-index
5 publications
101 citations
Binghamton University
Binghamton, United States
2 h-index
2 publications
38 citations
Marcus (United States)
Houston, United States
1 h-index
1 publications
13 citations
University College London
London, United Kingdom
1 h-index
2 publications
50 citations

Southeast University
Nanjing, China
1 h-index
3 publications
369 citations
Technical University of Denmark
Kongens Lyngby, Denmark
1 h-index
2 publications
164 citations
Massachusetts General Hospital
Boston, United States
1 h-index
2 publications
214 citations
1–8 of 19
JAMIA · 2 publications · 134 citations
2
h-index
1 publications · 231 citations
1
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1 publications · 123 citations
1
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1 publications · 25 citations
1
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JCGS · 1 publications · 44 citations
1
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