Probabilistic Assignment
Probabilistic Assignment is a statistical inference method used in mixed-stock analysis that assigns individuals to potential source populations based on the likelihood of their genetic or phenotypic markers, weighted by the relative contributions of each population to the mixed sample.
49
Publications
3.8K
Citations
110
Authors
74
Institutions
Publications per year
2017–2026
11
Parents
49
On Stochastic Models of Traffic Assignment
Carlos F. Daganzo, Yosef Sheffi · Transportation Science · 1977 · 929 citations
Assignment Models of the Distribution of Earnings
Michael Sattinger · Journal of Economic Literature · 1993 · 826 citations
Arash Bahrami, Amir H. Assadi, John L. Markley et al. · PLoS Computational Biology · 2009 · 201 citations · Full text
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University of Rochester
Rochester, United States
5 h-index
6 publications
323 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
4 publications
1K citations
Seoul National University
Seoul, South Korea
3 h-index
5 publications
145 citations
Université de Montréal
Montreal, Canada
3 h-index
3 publications
68 citations
Tongji University
Shanghai, China
2 h-index
2 publications
44 citations

U.S. Air Force Institute of Technology
Dayton, United States
2 h-index
2 publications
44 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
6 publications
836 citations

Rice University
Houston, United States
2 h-index
2 publications
80 citations
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4 publications · 72 citations
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3 publications · 347 citations
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3 publications · 970 citations
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2 publications · 88 citations
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2 publications · 80 citations
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