Model-based Estimation
Model-Based Estimation is a statistical inference approach that employs a structured probabilistic or deterministic framework to predict unobserved quantities by leveraging assumed relationships between observed data and underlying processes, thereby distinguishing it from design-based or non-parametric estimation methods.
1.2K
Publications
143.6K
Citations
3.2K
Authors
1.2K
Institutions
Publications per year
2017–2026
340
1.2K
Fast model-based estimation of ancestry in unrelated individuals
David H. Alexander, John Novembre, Kenneth Lange · Genome Research · 2009 · 10.6K citations · Full text
Claus L. Andersen, Jens Ledet Jensen, Torben F. Ørntoft · Cancer Research · 2004 · 7.2K citations
1–5 of 1.2K
3.2K
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Rutgers, The State University of New Jersey, United States
5 publications · 715 citations
5
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Massachusetts Institute of Technology, United States
5 publications · 206 citations
5
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1–5 of 3.2K
1.2K
University of California, Berkeley
Berkeley, United States
17 h-index
32 publications
2.9K citations
University of Wisconsin–Madison
Madison, United States
14 h-index
25 publications
2.1K citations

University of Waterloo
Waterloo, Canada
13 h-index
23 publications
846 citations
The Ohio State University
Columbus, United States
13 h-index
30 publications
1K citations
Stanford University
Stanford, United States
12 h-index
25 publications
6.3K citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
31 publications
1.7K citations
Politecnico di Milano
Milan, Italy
12 h-index
22 publications
745 citations
Columbia University
New York, United States
11 h-index
12 publications
642 citations
1–8 of 1.2K
37 publications · 9.6K citations
27
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TRR · 14 publications · 834 citations
13
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12 publications · 401 citations
12
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Repository · 12 publications · 452 citations
11
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9 publications · 661 citations
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