Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data
Publication
, Journal Article
Zhang, A; Han, R
Published in: Journal of the American Statistical Association
October 2, 2019
Duke Scholars
Published In
Journal of the American Statistical Association
DOI
EISSN
1537-274X
ISSN
0162-1459
Publication Date
October 2, 2019
Volume
114
Issue
528
Start / End Page
1708 / 1725
Publisher
Informa UK Limited
Related Subject Headings
- Statistics & Probability
- 1603 Demography
- 1403 Econometrics
- 0104 Statistics
Citation
APA
Chicago
ICMJE
MLA
NLM
Zhang, A., & Han, R. (2019). Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data. Journal of the American Statistical Association, 114(528), 1708–1725. https://doi.org/10.1080/01621459.2018.1527227
Zhang, Anru, and Rungang Han. “Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data.” Journal of the American Statistical Association 114, no. 528 (October 2, 2019): 1708–25. https://doi.org/10.1080/01621459.2018.1527227.
Zhang A, Han R. Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data. Journal of the American Statistical Association. 2019 Oct 2;114(528):1708–25.
Zhang, Anru, and Rungang Han. “Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data.” Journal of the American Statistical Association, vol. 114, no. 528, Informa UK Limited, Oct. 2019, pp. 1708–25. Crossref, doi:10.1080/01621459.2018.1527227.
Zhang A, Han R. Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data. Journal of the American Statistical Association. Informa UK Limited; 2019 Oct 2;114(528):1708–1725.
Published In
Journal of the American Statistical Association
DOI
EISSN
1537-274X
ISSN
0162-1459
Publication Date
October 2, 2019
Volume
114
Issue
528
Start / End Page
1708 / 1725
Publisher
Informa UK Limited
Related Subject Headings
- Statistics & Probability
- 1603 Demography
- 1403 Econometrics
- 0104 Statistics