Mixture Density Estimation
Mixture Density Estimation is a density estimation method that models a probability density function as a weighted sum of parametric component densities, typically Gaussian distributions, to capture multimodal and heterogeneous data structures.
343
Publications
25.9K
Citations
719
Authors
373
Institutions
Publications per year
2017–2026
47
Variants
Finite Mixture Modeling
343
Mixture Densities, Maximum Likelihood and the EM Algorithm
Richard A. Redner, Homer F. Walker · SIAM Review · 1984 · 2.7K citations
Exact Mean Integrated Squared Error
J. S. Marron, M. P. Wand · The Annals of Statistics · 1992 · 765 citations · Full text
Hagai Attias · Neural Computation · 1999 · 508 citations
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373
Carnegie Mellon University
Pittsburgh, United States
12 h-index
24 publications
2.2K citations
Purdue University West Lafayette
West Lafayette, United States
6 h-index
11 publications
289 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
12 publications
1.3K citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
6 h-index
14 publications
236 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
10 publications
265 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
8 publications
682 citations
Université de Montréal
Montreal, Canada
5 h-index
9 publications
297 citations

Australian National University
Canberra, Australia
5 h-index
7 publications
192 citations
1–8 of 373
16 publications · 3.9K citations
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12 publications · 1.6K citations
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Repository · 13 publications · 415 citations
12
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JCGS · 9 publications · 357 citations
9
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TPAMI · 8 publications · 2.1K citations
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