Functional Dimension Reduction
Functional Dimension Reduction is a statistical methodology within functional data analysis that reduces the infinite-dimensional functional observations to a finite set of uncorrelated components while preserving the essential structure and variability of the original functional time series.
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28.6K
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536
Authors
333
Institutions
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2017–2026
61
178
Jane-Ling Wang, Jeng‐Min Chiou, Hans‐Georg Müller · Annual Review of Statistics and Its Application · 2016 · 937 citations · Full text
A dimension reduction framework for understanding cortical maps
Richard Durbin, Graeme Mitchison · Nature · 1990 · 437 citations
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Duke University
Durham, United States
7 h-index
13 publications
346 citations

Johns Hopkins University
Baltimore, United States
7 h-index
15 publications
819 citations
University of California, Davis
Davis, United States
6 h-index
12 publications
656 citations
North Carolina State University
Raleigh, United States
6 h-index
8 publications
285 citations
Colorado State University
Fort Collins, United States
5 h-index
6 publications
245 citations

Universidad de Granada
Granada, Spain
5 h-index
11 publications
566 citations
University of Michigan
Ann Arbor, United States
4 h-index
5 publications
180 citations

Université Joseph Fourier
Grenoble, France
3 h-index
3 publications
223 citations
1–8 of 333
11 publications · 945 citations
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9 publications · 400 citations
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Repository · 6 publications · 245 citations
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CSDA · 6 publications · 320 citations
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4 publications · 137 citations
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