Learning from Unknown Information Sources
Published Online:22 Aug 2024https://doi.org/10.1287/mnsc.2021.03551
Supplemental Material
The replication files for this article are available HERE.
- Cited by
- 8 September 2025 | Journal of Optimization Theory and Applications, Vol. 208, No. 1
Volume 71, Issue 5
May 2025
Pages iv-vi, 3641-4531
Article Information
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- Received:October 25, 2021
- Accepted:September 01, 2023
- Published Online:August 22, 2024
Copyright © 2024, INFORMS
Cite as
Yucheng Liang (2024) Learning from Unknown Information Sources. Management Science 71(5):3873-3890.
https://doi.org/10.1287/mnsc.2021.03551
Keywords
The author is grateful to Douglas Bernheim, Muriel Niederle, Michael Ostrovsky, and Charles Lee for guidance and support. The author thanks Sandro Ambuehl, Ken Li, Timothy Mok, Carlo Schwarz, Peter Wakker, Edward Watts, Alex White, Anthony Lee Zhang, Songfa Zhong, journal editors and referees, and audiences at seminars and conferences for comments and suggestions. Emanuel Vespa kindly helped with the logistics of the experiment. This study is approved by the Stanford IRB in Protocol 45930 and by the UCSB IRB in Protocol 2-18-0331. All errors are the author’s own.
