Optimally Weighted PCA for High-Dimensional Heteroscedastic Data is a research paper published in SIAM Journal on Mathematics of Data Science (2023). On theSindex it has a DataRank of 0. It has been cited 15 times.
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Defense Advanced Research Projects Agency
Grant: DARPA-16-43-D3M-FP-037
Army Research Office
Grant: W911NF1910027
National Institutes of Health
Grant: U01 EB 018753
National Science Foundation
Grant: DGE 1256260
National Science Foundation
Grant: ECCS-1508943
National Science Foundation
Grant: IIS 1837992
National Science Foundation
Grant: DMS 2103353
National Science Foundation
Grant: IIS 1838179
National Science Foundation
Grant: CCF-1845076
National Science Foundation
Grant: 1508943
Inferring the behavior of distributed energy resources from incomplete measurements
National Science Foundation
Grant: 1256260
Graduate Research Fellowship Program (GRFP)
National Institutes of Health
Grant: 5U01EB018753-03
Accelerated statistical image reconstruction methods for X-ray CT
UM-SJTU Data Science seed fund
Wharton School, University of Pennsylvania
FWCI
3.70
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords