High-dimensional Mixture Analysis
High-Dimensional Mixture Analysis is a statistical modeling framework that characterizes complex dose-response relationships in mixtures with a large number of components by simultaneously accounting for high-dimensional interactions, correlations, and sparsity patterns among exposures.
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1.2K
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51
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54
Institutions
Publications per year
2017–2026
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Marc A. Suchard, Quanli Wang, Cliburn Chan et al. · Journal of Computational and Graphical Statistics · 2010 · 190 citations · Full text
The topography of multivariate normal mixtures
Surajit Ray, Bruce G. Lindsay · The Annals of Statistics · 2005 · 179 citations · Full text
Paul Curtin, Joshua J. Kellogg, Nadja B. Cech et al. · Communications in Statistics - Simulation and Computation · 2019 · 67 citations
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Centre National de la Recherche Scientifique
Paris, France
3 h-index
9 publications
231 citations
Université Paris-Saclay
Gif-sur-Yvette, France
2 h-index
3 publications
56 citations
Duke University
Durham, United States
2 h-index
6 publications
961 citations
Université Paris Cité
Paris, France
2 h-index
5 publications
178 citations

Sorbonne Université
Paris, France
2 h-index
2 publications
35 citations
Laboratoire de Probabilités et Modèles Aléatoires
Paris, France
1 h-index
1 publications
14 citations
École Polytechnique
Palaiseau, France
1 h-index
1 publications
14 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
1 publications
190 citations
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CSDA · 2 publications · 291 citations
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Repository · 1 publications · 27 citations
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SIIMS · 1 publications · 50 citations
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1 publications · 14 citations
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1 publications · 179 citations
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