High-dimensional Vector Analysis
High-Dimensional Vector Analysis is a methodological framework within vector modeling that specifically addresses the computational and geometric challenges arising in vector spaces of significantly elevated dimensionality, distinguishing itself by focusing on the intrinsic properties and statistical behaviors unique to high-dimensional data structures.
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2.4K
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79
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44
Institutions
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2017–2026
3
Parents
26
Power Enhancement in High-Dimensional Cross-Sectional Tests
Jianqing Fan, Yuan Liao, Jiawei Yao · Econometrica · 2015 · 387 citations
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Cornell University
Ithaca, United States
1 h-index
2 publications
78 citations
University of Bamberg
Bamberg, Germany
1 h-index
5 publications
75 citations

Finnish Institute for Health and Welfare
Helsinki, Finland
1 h-index
1 publications
18 citations
Guangdong Province Stomatological Hospital
Guangzhou, China
1 h-index
1 publications
16 citations

Johns Hopkins University
Baltimore, United States
1 h-index
4 publications
304 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
106 citations
Princeton University
Princeton, United States
1 h-index
2 publications
774 citations

Mohammed V University
Rabat, Morocco
1 h-index
1 publications
14 citations
1–8 of 44
1 publications · 16 citations
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JN · 1 publications · 202 citations
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1 publications · 105 citations
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1 publications · 387 citations
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1 publications · 20 citations
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