Mixture Distribution Modeling
Mixture Distribution Modeling is a statistical modeling approach that represents the overall distribution of incubation periods as a weighted combination of distinct parametric distributions, each corresponding to a subpopulation or transmission pathway, thereby accounting for heterogeneity in disease progression dynamics.
392
Publications
23.8K
Citations
1K
Authors
530
Institutions
Publications per year
2017–2026
101
Parents
392
Statistical Analysis of Finite Mixture Distributions.
JO Newton, D. M. Titterington, A. F. M. Smith et al. · Biometrics · 1986 · 2K citations
Xuerui Wang, Andrew McCallum · 2006 · 1.1K citations
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University of Washington
Seattle, United States
8 h-index
14 publications
1.3K citations
University of Pittsburgh
Pittsburgh, United States
7 h-index
15 publications
553 citations

Cornell University
Ithaca, United States
5 h-index
17 publications
594 citations

Johns Hopkins University
Baltimore, United States
5 h-index
11 publications
1.7K citations

University of Toronto
Toronto, Canada
5 h-index
10 publications
287 citations
University of Michigan
Ann Arbor, United States
4 h-index
13 publications
679 citations
University of Illinois Chicago
Chicago, United States
4 h-index
9 publications
310 citations

McMaster University
Hamilton, Canada
4 h-index
6 publications
374 citations
1–8 of 530
12 publications · 339 citations
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10 publications · 2.4K citations
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Repository · 9 publications · 291 citations
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8 publications · 3.8K citations
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CSDA · 7 publications · 191 citations
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