The EAS approach to variable selection for multivariate response data in high-dimensional settings
Publication
, Journal Article
Koner, S; Williams, JP
Published in: Electronic Journal of Statistics
January 1, 2023
Duke Scholars
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Published In
Electronic Journal of Statistics
DOI
ISSN
1935-7524
Publication Date
January 1, 2023
Volume
17
Issue
2
Publisher
Institute of Mathematical Statistics
Related Subject Headings
- 4905 Statistics
- 0104 Statistics
Citation
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Koner, S., & Williams, J. P. (2023). The EAS approach to variable selection for multivariate response data in high-dimensional settings. Electronic Journal of Statistics, 17(2). https://doi.org/10.1214/23-ejs2141
Koner, Salil, and Jonathan P. Williams. “The EAS approach to variable selection for multivariate response data in high-dimensional settings.” Electronic Journal of Statistics 17, no. 2 (January 1, 2023). https://doi.org/10.1214/23-ejs2141.
Koner S, Williams JP. The EAS approach to variable selection for multivariate response data in high-dimensional settings. Electronic Journal of Statistics. 2023 Jan 1;17(2).
Koner, Salil, and Jonathan P. Williams. “The EAS approach to variable selection for multivariate response data in high-dimensional settings.” Electronic Journal of Statistics, vol. 17, no. 2, Institute of Mathematical Statistics, Jan. 2023. Crossref, doi:10.1214/23-ejs2141.
Koner S, Williams JP. The EAS approach to variable selection for multivariate response data in high-dimensional settings. Electronic Journal of Statistics. Institute of Mathematical Statistics; 2023 Jan 1;17(2).
Published In
Electronic Journal of Statistics
DOI
ISSN
1935-7524
Publication Date
January 1, 2023
Volume
17
Issue
2
Publisher
Institute of Mathematical Statistics
Related Subject Headings
- 4905 Statistics
- 0104 Statistics