Sparse Network Estimation
Sparse Network Estimation is a statistical inference method that belongs to the class of network estimation techniques, distinguished by its explicit assumption that the underlying ecological interaction network contains relatively few non-zero connections, thereby promoting parsimonious models through regularization or sparsity-inducing constraints.
139
Publications
7K
Citations
383
Authors
203
Institutions
Publications per year
2017–2026
57
Parents
139
Sampling networks of ecological interactions
Pedro Jordano · Functional Ecology · 2016 · 360 citations · Full text
Estimating psychopathological networks: Be careful what you wish for
Sacha Epskamp, Joost Kruis, Maarten Marsman · PLoS ONE · 2017 · 327 citations · Full text
Sparse Brain Network Recovery Under Compressed Sensing
Hye-Kyoung Lee, Dong-Soo Lee, Hyejin Kang et al. · IEEE Transactions on Medical Imaging · 2011 · 200 citations
1–5 of 139
383
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London School of Economics and Political Science, United Kingdom
4 publications · 261 citations
4
h-index
1–5 of 383
203
Arizona State University
Tempe, United States
9 h-index
16 publications
1K citations
University of Michigan
Ann Arbor, United States
7 h-index
14 publications
1.9K citations
University of California, Berkeley
Berkeley, United States
5 h-index
12 publications
793 citations

Beijing Normal University
Beijing, China
4 h-index
12 publications
960 citations
Microsoft (United States)
Redmond, United States
4 h-index
7 publications
176 citations
Universidad Rey Juan Carlos
Madrid, Spain
4 h-index
11 publications
173 citations

Northwestern Polytechnical University
Xi'an, China
4 h-index
9 publications
161 citations
London School of Economics and Political Science
London, United Kingdom
4 h-index
5 publications
389 citations
1–8 of 203
Repository · 17 publications · 507 citations
15
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6 publications · 503 citations
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4 publications · 171 citations
4
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PRE · 3 publications · 126 citations
3
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3 publications · 62 citations
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