Mixture Model Analysis is a statistical methodology that models the overall distribution of a dataset as a combination of multiple underlying probability distributions, each representing a distinct subpopulation or component, to infer the size composition and growth parameters of individual populations from mixed-length frequency data.
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Citations
4.1K
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1.5K
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Publications per year
2017–2026
282
Parents
Publications
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1–5 of 1.4K
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4.1K
- GJ
17
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- PD
13
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- KR
9
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- BG
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- DB
8
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The University of Queensland
Brisbane, Australia
21 h-index
50 publications
5K citations
Pennsylvania State University
State College, United States
21 h-index
50 publications
4.1K citations
University of Washington
Seattle, United States
21 h-index
45 publications
5.8K citations
Centre National de la Recherche Scientifique
Paris, France
19 h-index
57 publications
3.6K citations
Carnegie Mellon University
Pittsburgh, United States
19 h-index
50 publications
11.2K citations
University of Michigan
Ann Arbor, United States
18 h-index
47 publications
7.2K citations
University of Pittsburgh
Pittsburgh, United States
15 h-index
27 publications
2.5K citations
University of Florida
Gainesville, United States
15 h-index
27 publications
974 citations
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Venues
- Biometrics
33 publications · 4.2K citations
24
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- Journal of the American Statistical Association
32 publications · 6.5K citations
23
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- Computational Statistics & Data Analysis
CSDA · 35 publications · 2.3K citations
23
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- Statistics in Medicine
30 publications · 1.2K citations
22
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- Bioinformatics
24 publications · 1.6K citations
19
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