Published Online:24 May 2022https://doi.org/10.1287/opre.2022.2276
- Cited by
- 29 June 2026 | Journal of the American Statistical Association, Vol. 94305
- INFORMS Journal on Computing, Vol. 38, No. 3
- 9 April 2026 | Operations Research, Vol. 0, No. 0
- 9 April 2026 | Journal of the Royal Statistical Society Series B: Statistical Methodology, Vol. 44
- 12 January 2026 | Statistics and Computing, Vol. 36, No. 2
- 16 March 2026 | Journal of Business & Economic Statistics, Vol. 35
- 1 November 2025 | Statistics and Computing, Vol. 36, No. 1
- 1 January 2026 | SSRN Electronic Journal, Vol. 20
- 17 December 2025 | Journal of the Royal Statistical Society Series B: Statistical Methodology, Vol. 22
- 2 December 2025 | INFORMS Journal on Computing, Vol. 0, No. 0
- 2 February 2025 | Technology and Health Care, Vol. 33, No. 4
- European Journal of Operational Research, Vol. 323, No. 2
- 3 April 2025 | Econometric Reviews, Vol. 27
- Computers & Operations Research, Vol. 176
- The Annals of Applied Statistics, Vol. 19, No. 1
- 5 June 2024 | Computational and Structural Biotechnology Journal, Vol. 23
- 22 April 2024 | Journal of Computational and Graphical Statistics, Vol. 33, No. 4
- 9 February 2024 | Artificial Life and Robotics, Vol. 29, No. 2
- IEEE Transactions on Information Theory, Vol. 70, No. 5
- 18 April 2024 | PLOS ONE, Vol. 19, No. 4
- 21 July 2023 | TOP, Vol. 32, No. 1
- 1 January 2024 | SSRN Electronic Journal, Vol. 20
- Journal of Computer and Communications, Vol. 12, No. 10
- 4 July 2023 | Journal of Statistical Computation and Simulation, Vol. 93, No. 18
- 9 August 2023 | Sampling Theory, Signal Processing, and Data Analysis, Vol. 21, No. 2
- 6 February 2023 | Journal of Computational and Graphical Statistics, Vol. 32, No. 3
- The Annals of Statistics, Vol. 51, No. 1

Volume 71, Issue 1
January-February 2023
Pages iii-v, 1-395, C2-C3
Article Information
Supplemental Material
Metrics
Information
- Received:September 24, 2020
- Accepted:November 25, 2021
- Published Online:May 24, 2022
Copyright © 2022, INFORMS
Cite as
Rahul Mazumder, Peter Radchenko, Antoine Dedieu (2022) Subset Selection with Shrinkage: Sparse Linear Modeling When the SNR Is Low. Operations Research 71(1):129-147.
https://doi.org/10.1287/opre.2022.2276
Keywords
The authors thank the area editor, the associate editor, and the anonymous referees for their constructive comments that helped improve the paper. Antoine Dedieu primarily contributed to the paper while a graduate student at MIT.
