High-dimensional Dependence
High-Dimensional Dependence is a statistical framework that models the complex interdependencies among a large number of random variables, where the dependence structure cannot be adequately captured by pairwise or low-dimensional methods due to the curse of dimensionality and the need for scalable, structured, or sparse representations.
131
Publications
6.6K
Citations
319
Authors
201
Institutions
Publications per year
2017–2026
47
Parents
131
Joint estimation of multiple graphical models
Juan Guo, Elizaveta Levina, George Michailidis et al. · Biometrika · 2011 · 457 citations · Full text
BAYESIAN MODEL ASSESSMENT IN FACTOR ANALYSIS
Hedibert F. Lopes, Mike West · 2004 · 409 citations
1–5 of 131
319
5
h-index
4
h-index
4
h-index
3
h-index
3
h-index
1–5 of 319
201
Princeton University
Princeton, United States
10 h-index
14 publications
865 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
11 publications
413 citations
Technical University of Munich
Munich, Germany
5 h-index
8 publications
656 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
6 publications
193 citations
Texas A&M University
College Station, United States
4 h-index
5 publications
259 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
10 publications
440 citations
Stanford University
Stanford, United States
4 h-index
4 publications
210 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
7 publications
125 citations
1–8 of 201
Repository · 18 publications · 487 citations
12
h-index
CSDA · 4 publications · 70 citations
4
h-index
4 publications · 178 citations
4
h-index
Conference · 4 publications · 95 citations
4
h-index
3 publications · 105 citations
3
h-index
1–5