Structural Model Selection
Structural Model Selection is a model selection paradigm that, as opposed to purely statistical or performance-based criteria, emphasizes the comparative evaluation and choice of models based on their underlying theoretical or architectural configurations, distinguishing it by prioritizing the identification of the most appropriate structural assumptions or causal mechanisms governing the system under study.
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Publications
39.2K
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1.4K
Authors
671
Institutions
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2017–2026
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671
National Institutes of Health
Bethesda, United States
5 h-index
14 publications
1.2K citations

Pennsylvania State University
State College, United States
5 h-index
7 publications
743 citations
Harvard University
Cambridge, United States
5 h-index
9 publications
698 citations

Vanderbilt University
Nashville, United States
5 h-index
11 publications
13.6K citations
University of California San Diego
San Diego, United States
5 h-index
8 publications
1.3K citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
16 publications
878 citations
University of Florence
Florence, Italy
5 h-index
17 publications
1.1K citations

Sun Yat-sen University
Guangzhou, China
5 h-index
6 publications
102 citations
1–8 of 671
5 publications · 161 citations
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JACS · 5 publications · 504 citations
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5 publications · 276 citations
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JKAN · 4 publications · 56 citations
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4 publications · 249 citations
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