Nested Data Structures
Nested Data Structures is a data organization paradigm in which observational units are hierarchically grouped into clusters such that lower-level units are wholly contained within higher-level units, thereby inducing dependency structures that violate the assumption of independence in conventional statistical analyses.
133
Publications
9.3K
Citations
358
Authors
179
Institutions
Publications per year
2017–2026
40
Variants
Hierarchical DataMultilevel Data
Parents
133
1–5 of 133
358
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179
Carnegie Mellon University
Pittsburgh, United States
5 h-index
17 publications
1.8K citations

University of Edinburgh
Edinburgh, United Kingdom
4 h-index
8 publications
721 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
3 h-index
5 publications
619 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
5 publications
162 citations
The University of Texas at Austin
Austin, United States
3 h-index
6 publications
170 citations

University of North Texas
Denton, United States
3 h-index
5 publications
308 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
15 publications
347 citations
University of Missouri
Columbia, United States
3 h-index
3 publications
167 citations
1–8 of 179
4 publications · 152 citations
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MBR · 4 publications · 674 citations
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Conference · 3 publications · 202 citations
3
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3 publications · 106 citations
3
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2 publications · 182 citations
2
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1–5