Published Online:17 Jun 2022https://doi.org/10.1287/opre.2022.2313
- Cited by
- 18 May 2026 | Journal of the American Statistical Association
- Journal of Statistical Planning and Inference, Vol. 162
- 28 April 2026 | Journal of the American Statistical Association, Vol. 8
- 30 March 2026 | Information Systems Research, Vol. 0, No. 0
- 20 February 2026 | The Journal of Physical Chemistry A, Vol. 88
- 12 January 2026 | Journal of the American Statistical Association, Vol. 24
- 17 July 2025 | Operations Research, Vol. 74, No. 1
- IEEE Transactions on Information Theory, Vol. 71, No. 12
- IEEE Transactions on Network Science and Engineering, Vol. 12, No. 6
- The Annals of Statistics, Vol. 53, No. 5
- 20 May 2025 | Journal of the American Statistical Association, Vol. 120, No. 550
- 13 March 2024 | Journal of the American Statistical Association, Vol. 120, No. 549
- IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 46, No. 12
- The Annals of Applied Statistics, Vol. 17, No. 1

Volume 71, Issue 1
January-February 2023
Pages iii-v, 1-395, C2-C3
Article Information
Supplemental Material
Metrics
Information
- Received:June 05, 2021
- Accepted:May 02, 2022
- Published Online:June 17, 2022
Copyright © 2022, INFORMS
Cite as
Yue Liu, Ethan X. Fang, Junwei Lu (2022) Lagrangian Inference for Ranking Problems. Operations Research 71(1):202-223.
https://doi.org/10.1287/opre.2022.2313
Keywords
The authors thank the area editor, associate editor, and two reviewers for constructive comments, which led to a significant improvement of the earlier version of this paper and Chao Gao, Yandi Shen, and Anderson Y. Zhang for giving the independent credit. E. X. Fang and J. Lu are joint corresponding authors.
