Finite Mixture Models
Finite Mixture Model is a probabilistic model that represents a population as a finite combination of distinct component distributions, each corresponding to a subpopulation, where the overall distribution is a weighted sum of these components with parameters governing mixture proportions and component-specific characteristics.
2.4K
Publications
261.5K
Citations
4.6K
Authors
1.8K
Institutions
Publications per year
2017–2026
464
Variants
Finite Mixture Modeling
2.4K
1–5 of 2.4K
4.6K
31
h-index
22
h-index
17
h-index
17
h-index
16
h-index
1–5 of 4.6K
1.8K

Pennsylvania State University
State College, United States
31 h-index
75 publications
9.1K citations

Concordia University
Montreal, Canada
28 h-index
96 publications
3.7K citations

Centre National de la Recherche Scientifique
Paris, France
27 h-index
72 publications
10.4K citations
Carnegie Mellon University
Pittsburgh, United States
23 h-index
62 publications
16.5K citations
University of Michigan
Ann Arbor, United States
23 h-index
45 publications
3.2K citations

The University of Queensland
Brisbane, Australia
22 h-index
50 publications
3.6K citations
Columbia University
New York, United States
21 h-index
46 publications
3.5K citations

Université de Sherbrooke
Sherbrooke, Canada
20 h-index
39 publications
2.7K citations
1–8 of 1.8K
66 publications · 14.7K citations
45
h-index
CSDA · 67 publications · 3.8K citations
37
h-index
33 publications · 58.9K citations
30
h-index
35 publications · 4.5K citations
27
h-index
43 publications · 3.2K citations
27
h-index
1–5